From bb34d6e796cecb47471fa098da0ab8e14fba6875 Mon Sep 17 00:00:00 2001
From: Fabian Ruperti <ruperti@mac-arendt56.pool.embl.de>
Date: Thu, 7 Jul 2022 00:03:21 +0200
Subject: [PATCH] update annotation_categories for suppl fig 2.1, 2.2 and 2.3

---
 analysis/suppl-annotation_categories.ipynb | 885 ++++++++++++++++-----
 1 file changed, 672 insertions(+), 213 deletions(-)

diff --git a/analysis/suppl-annotation_categories.ipynb b/analysis/suppl-annotation_categories.ipynb
index d40e8d6..c0af900 100755
--- a/analysis/suppl-annotation_categories.ipynb
+++ b/analysis/suppl-annotation_categories.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 54,
    "id": "dc9dc62f-580e-4e06-aed7-4b9270a5a88b",
    "metadata": {},
    "outputs": [
@@ -10,7 +10,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2022-07-06 19:05\n"
+      "2022-07-06 23:48\n"
      ]
     }
    ],
@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 55,
    "id": "a5dc559c-d647-414b-9e84-7e59a5fa34bd",
    "metadata": {},
    "outputs": [],
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 56,
    "id": "04bc758b-3269-413e-bc7a-dc3d52687d4d",
    "metadata": {},
    "outputs": [],
@@ -85,12 +85,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 57,
    "id": "3346016c-6914-4832-acd7-80864cf086c3",
    "metadata": {},
    "outputs": [],
    "source": [
-    "annotations_complete = structural_annotation[['protein_id', 'eggNOG_OGs', 'MSA size','alignment length', 'query length', 'seq. id.', 'bit score','plddt', 'complete_protein']].merge(sequence_annotation[['protein_id', 'eggNOG_OGs', 'score']], \n",
+    "annotations_complete = structural_annotation[['protein_id', 'eggNOG_OGs', 'MSA size','alignment length', 'query length', 'seq. id.', 'bit score','plddt', 'complete_protein', \"Preferred_name\", \"Description\"]].merge(sequence_annotation[['protein_id', 'eggNOG_OGs', 'score', \"Preferred_name\", \"Description\"]], \n",
     "                                                                           on='protein_id', suffixes=['_struct', '_seq'], how = 'outer')"
    ]
   },
@@ -104,7 +104,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 58,
    "id": "3da4cb5a-1efa-4453-b809-116c3f331757",
    "metadata": {
     "tags": []
@@ -114,34 +114,57 @@
     "bitscore_cut_off = np.exp(5)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "349272c3-4ef7-4fbb-ab6d-ea30fc6515a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "seq_isnan = annotations_complete[\"Preferred_name_seq\"].isnull()\n",
+    "seq_missing = annotations_complete[\"Preferred_name_seq\"] == \"-\"\n",
+    "seq_no_desc = annotations_complete[\"Description_seq\"].isnull()\n",
+    "seq_desc_mis = annotations_complete[\"Description_seq\"] == \"-\"\n",
+    "\n",
+    "struct_isnan = annotations_complete[\"Preferred_name_struct\"].isnull()\n",
+    "struct_missing = annotations_complete[\"Preferred_name_struct\"] == \"-\"\n",
+    "struct_no_desc = annotations_complete[\"Description_struct\"].isnull()\n",
+    "struct_desc_mis = annotations_complete[\"Description_struct\"] == \"-\"\n",
+    "\n",
+    "seq_has_name = ~(seq_isnan | seq_missing)\n",
+    "seq_has_desc = ~(seq_no_desc | seq_desc_mis)\n",
+    "struct_has_name = ~(struct_isnan | struct_missing)\n",
+    "struct_has_desc = ~(struct_no_desc | struct_desc_mis)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "988f4ac6-655a-4ef8-9c0a-579335a0432d",
    "metadata": {},
    "source": [
-    "Now I want to create a new column which puts a protein in one of 4 categories:\n",
+    "Now we create a new column which puts a protein in one of 4 categories:\n",
     "\n",
-    "    - str_seq: Structure (above bitscore cutoff) as well as sequence annotation available\n",
-    "    - str_noseq: Structure (above bitscore cutoff) but no sequence annotation available\n",
-    "    - nostr_seq: No structure (or structure below bitscore cutoff) but sequence annotation available\n",
+    "    - str_seq: Structure (above bitscore cutoff) as well as sequence annotation (either name or description) available\n",
+    "    - str_noseq: Structure (above bitscore cutoff) (either name or description) but no sequence annotation available\n",
+    "    - nostr_seq: No structure (or structure below bitscore cutoff) but sequence annotation (either name or description) available\n",
     "    - nostr_noseq: No structure (or structure below bitscore cutoff) and no sequence annotation available\n",
     "    "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 60,
    "id": "882f6984-f4b6-4b74-83b2-f280e9550026",
    "metadata": {},
    "outputs": [],
    "source": [
     "conditions = [\n",
-    "    ((~annotations_complete['eggNOG_OGs_struct'].isna()) & (~annotations_complete['eggNOG_OGs_seq'].isna()) & (annotations_complete['bit score'] >= bitscore_cut_off)),\n",
-    "    ((~annotations_complete['eggNOG_OGs_struct'].isna()) & (~annotations_complete['eggNOG_OGs_seq'].isna()) & (annotations_complete['bit score'] < bitscore_cut_off)),\n",
-    "    ((~annotations_complete['eggNOG_OGs_struct'].isna()) & (annotations_complete['eggNOG_OGs_seq'].isna()) & (annotations_complete['bit score'] >= bitscore_cut_off)),\n",
-    "    ((~annotations_complete['eggNOG_OGs_struct'].isna()) & (annotations_complete['eggNOG_OGs_seq'].isna()) & (annotations_complete['bit score'] < bitscore_cut_off)),\n",
-    "    ((annotations_complete['eggNOG_OGs_struct'].isna()) & (~annotations_complete['eggNOG_OGs_seq'].isna())),\n",
-    "    ((annotations_complete['eggNOG_OGs_struct'].isna()) & (annotations_complete['eggNOG_OGs_seq'].isna()))\n",
+    "    ((seq_has_name | seq_has_desc) & (struct_has_name | struct_has_desc) & (annotations_complete['bit score'] >= bitscore_cut_off)),\n",
+    "    ((seq_has_name | seq_has_desc) & (struct_has_name | struct_has_desc) & (annotations_complete['bit score'] < bitscore_cut_off)),\n",
+    "    (~(seq_has_name | seq_has_desc) & (struct_has_name | struct_has_desc) & (annotations_complete['bit score'] >= bitscore_cut_off)),\n",
+    "    (~(seq_has_name | seq_has_desc) & (struct_has_name | struct_has_desc) & (annotations_complete['bit score'] < bitscore_cut_off)),\n",
+    "    ((seq_has_name | seq_has_desc) & ~(struct_has_name | struct_has_desc)),\n",
+    "    (~(seq_has_name | seq_has_desc) & ~(struct_has_name | struct_has_desc))\n",
     "    ]\n",
     "\n",
     "values = ['str_seq', 'nostr_seq', 'str_noseq', 'nostr_noseq', 'nostr_seq', 'nostr_noseq']"
@@ -149,7 +172,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 61,
    "id": "b8836e3c-6fd0-4c4c-8f31-b8b353034286",
    "metadata": {
     "tags": []
@@ -161,40 +184,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "id": "65e7e87b-2830-4980-b08b-770a68179f9b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "str_seq        16589\n",
-       "nostr_noseq    15312\n",
-       "str_noseq       8643\n",
-       "nostr_seq       1401\n",
-       "Name: annotation_category, dtype: int64"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "annotations_complete['annotation_category'].value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 121,
    "id": "f773a88b-855b-4104-9faf-ef461f02e197",
    "metadata": {
     "tags": []
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "No handles with labels found to put in legend.\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 360x360 with 1 Axes>"
       ]
@@ -206,15 +211,14 @@
     }
    ],
    "source": [
-    "cats = ['Structure / No sequence', 'Structure / Sequence', 'No structure / No sequence', 'No structure / Sequence']\n",
+    "cats = ['Structure / Sequence', 'No structure / No sequence', 'Structure / No sequence', 'No structure / Sequence']\n",
     "\n",
     "fig, ax = plt.subplots(figsize=(5, 5))\n",
-    "sns.countplot(x='annotation_category', data=annotations_complete, ax=ax)\n",
+    "sns.countplot(x='annotation_category', data=annotations_complete, ax=ax, order = annotations_complete['annotation_category'].value_counts().index)\n",
     "ax.set_xticklabels(cats, rotation = 45, ha = 'right')\n",
     "ax.tick_params(labelsize = 15)\n",
     "plt.ylabel('protein count', fontsize=14)\n",
     "ax.set(xlabel=None)\n",
-    "\n",
     "fig = fig.get_figure()\n",
     "fig.savefig('./figures/analysis-annotation_cat-barplot.svg')"
    ]
@@ -229,7 +233,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 125,
    "id": "a741a46c-b8be-4214-b1b2-75aee27af89e",
    "metadata": {
     "tags": []
@@ -237,7 +241,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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ej/MZ022M1qaOJEmahGJDGdVN7mdGxI0RcS3V5bPj6+dOA86LiIt77Ptx4JSIuJRqFmjMJ4EnR8T1EXEN1WXDsXrXRsRZmfkn4BNUlxzPBW7qdoDMfAh4A/CZutZS4KXt20TE1lSzePdO9PzWUPco4NSI+Dmwqq3WZcAtwHXAicBVdY/LgLcB366PcTnw/K4jNs4YrWUdSZI0CcVevszMK+kIOW3PfYHqZvix5bkdz18KPG4mp3634JFd1n8Q+GDb8hDVjfyd2+3TsbwU2Huc03gN1cxTt3MY7/y61q33eRFARMyjCm9kZvLYmbP2fX5M9Q7TzvXz2h4vAfapH/cao651JElSfxQbymaCzPxm0z1IkqT1g6FsPZWZt1K9S1OSJM0AJd9TJkmStMEwlEmSJBXAUCZJklQAQ5kkSVIBDGWSJEkFMJRJkiQVwFAmSZJUAEOZJElSAQxlkiRJBTCUSZIkFcBQJkmSVAD/9qUkaa0MDg423YI0babj+91QJklaK61Wq+kWpGkzHd/vXr6UJEkqgKFMkiSpAIYySZKkAhjKJEmSCmAokyRJKoChTJIkqQCGMkmSpAIYyiRJkgpgKJMkSSqAoUySJKkAhjJJkqQCGMokSZIKYCiTJEkqgKFMkiSpAIYySZKkAhjKJEmSCjC76QYkSdJj3b5iFp9cMrfpNgC47b5ZAH3t5/YVs3he36rNHIYySZIKMjg42HQLj7H56CgAmw4M9K3m8yjvPEtgKJMkqSCtVqvpFtQQ7ymTJEkqgKFMkiSpAIYySZKkAhjKJEmSCmAokyRJKoChTJIkqQCGMkmSpAIYyiRJkgpgKJMkSSqAoUySJKkAhjJJkqQCGMokSZIKYCiTJEkqgKFMkiSpAIYySZKkAhjKJEmSCjC76QYkSeMbGhpiZGSk6TbWyujoKAADAwMNd9J/g4ODtFqtptvQDGIok6TCjYyMcPUNV8OWTXeyFu6pPi2LZc320W93N92AZiJDmSStD7aE1fusbrqLSdtocXWXzPrY+3jGzkvqJ7+rJEmSCmAokyRJKoChTJIkqQCGMkmSpAIYyiRJkgpgKJMkSSqAoUySJKkAhjJJkqQCGMokSZIKYCiTJEkqgKFMkiSpAIYySZKkAhjKJEmSCmAokyRJKoChTJIkqQCGMkmSpAIYyqQN1NDQEENDQ023IUlFm87XytnTchRJxRkZGWm6BUkq3nS+VjpTJkmSVABDmSRJUgEMZZIkSQUwlEmSJBXAUCZJklQAQ5kkSVIBDGWSJEkFMJRJkiQVwFAmSZJUAEOZJElSAQxlkiRJBTCUSZIkFcBQJkmSVABDmSRJUgEMZZIkSQVYYyiLiIyIk9qWF0XE8ety0IiYFxF/ty41OurNj4jX9qtej2N8KCKO6Fj3tohYHRG7tK27PiLmTWUvkiRp5pnITNmDwKERsVUfjzsP6BrKImL2WtSbD0wqlEVlMjOFBwAXdlk/Chw3mWNLkiR1mkgAehg4DXgfHeEjIp4FfBXYGlgGHJWZt3ds80rglHoxgb2BE4AXRMRS4Ezgj8BfApsCm0fEJ4BFmXlwXeOLwJLMPCMi9qjrbU4VGF8NfAKYExEvBz4NvABYkZkn1vtfDxxc93AecDGwF3BIRLwReCOwCfCDzPxY5wBExBOBjTNzWZfxORfYOyJ2zMybO/Z7E/BhIIAfZuYHu9Q+AfhrqnG+MDMXRcTWwL8Az6w3W5iZl0XEU4Fv1+P9S+BAYHdgLnBuZu5c11wEzM3M4yPiucCp9T4rgb/PzJsi4gzgXmAB8HTgmMz8br3/McBbgNXAeZl5bK86XcZD64nR0VFWrVpFq9VquhWtwfDwcPWvUeVYUX1d/Pcz8w0PDzNnzpxpOdZEZ4pOBY6IiCd1rP8i8PXM3AU4Cxjqsu8i4N2ZOR94BbAKOBa4NDPnZ+bn6u32Ao7MzFf1aiIiNgbOBt6bmS8C9gfuBz4KnF3XO3sN57Jj3fOu9eMdgD2pZtt2j4i9u+yzP/CjHvVWA5+lCl/tvW4HfAZ4VV17j4g4pGObpwCvB15Yj+En66dOAT6XmXsAfwOcXq//GPDTuvdzeDS0jec04D2ZuTvV1+JLbc9tC7ycKrCeUPd0EHAI8OJ6jD87gTrt5/TOiFgSEUuWLeuWYSVJUjcTulSYmfdGxNeBFlWoGrMXcGj9+Bs8+gO83WXAyRFxFvD9zByNiG6HuSgz71pDKzsCd2TmFWN9AfSo18ttmXl5/fiA+uPqenkuVUi7pGOfA4GvjVPzW8BxEfHstnV7AIvHZtfq898b+Le2be4FHgBOj4gfUs26QRUCd2o7rydGxBb1/ocCZOYPI+KP451oRMwFXgr8v7Zam7Rt8m+ZuRq4MSKe1nbsr2Xmyvo4d02gzp9l5mlUAY4FCxbkeP2pWQMDAwAMDXX7v5RK0mq1uPp/rl7zhpo+c2GH7Xfw388GYDpnQydz/9bngasYP5w87odwZp5QB47XApdHxP499r2/7fHDPHYWb9P6c3Q7Rhe99u88TgCfzswvr6HensC7ej2ZmQ/Xb4Zovzy5xqRY77cnsB9wOHA01czaRsBemdkegMfCZ7fz73W+GwF317OU3TzYpd9uY7ymOpIkaR1N+Eb3ehbrO8A72lb/jCpMABwB/LRzv4h4bmZel5mfAZYAzwfuA7YY53C3Uc0UbVJfMt2vXn8TsF19XxkRsUX9xoDOercCu9Xb7Aa0z2C1uwB4ez0TRERsHxHbdPT/QuCmzHxknH4BzqCaZdq6Xv4F8MqI2CoiZgFvAn7SUXsu8KTM/A9gIdVlTqjeUHB023Zj6y+hGuexy4xPrtffCWwTEU+NiE2o75+rZxJviYi/rfeJiHjRGs7jQqox2aze5ylrWUeSJE3CZH9P2UlA+7swW8BREXEt1Y3h7+2yz8L610RcQ3Xp8zzgWuDhiLgmIt7XuUNm/oYqAF5Lda/a1fX6h4DDgC/U9S6imhW6mCrELY2Iw4DvAU+p30jwLuBX3U4mMy+kuvT484i4Dvgujw+LBwHnjzsqj/Y2BGxTL98BfKju7Rrgqsz8947dtgDOrcfvJ1RvpoBqXBdExLURcSPwf+r1H6d6U8FVVJddb6+P9SeqNzv8guoSaPsN+EcA76jH6wbgdWs4j/Op7ldbUo/forWpI0mSJmeNly8zc27b4zuBzdqWb6W63Dbe/u/p8dR+HctndOx3DHBMl3pXAC/pUm+PjuUDehx35456p/Dou0O7eQ3w1m5PZOYZtPWdmUO0vdkhM79FFfq6qoPbnl3WL6cKn53r/0DbeUXE63sdu239LVT3xHWuf1vHcvvX+QTqG//XVEeSJPXH2vxOsA1KZr666R4kSdLMZyhbj2XmvKZ7kCRJ/eHfvpQkSSqAoUySJKkAhjJJkqQCGMokSZIKYCiTJEkqgKFMkiSpAIYySZKkAhjKJEmSCmAokyRJKoChTJIkqQCGMkmSpAL4ty+lDdTg4GDTLUhS8abztdJQJm2gWq1W0y1IUvGm87XSy5eSJEkFMJRJkiQVwFAmSZJUAEOZJElSAQxlkiRJBTCUSZIkFcBQJkmSVABDmSRJUgEMZZIkSQUwlEmSJBXAUCZJklQAQ5kkSVIBDGWSJEkFMJRJkiQVwFAmSZJUAEOZJElSAWY33YAkaQLuho0Wr4f/j767+rRe9j6eu4Htm25CM42hTJIKNzg42HQLa200RwEY2H6g4U76bPv1++uiMhnKJKlwrVar6RYkTYMZNp8sSZK0fjKUSZIkFcBQJkmSVABDmSRJUgEMZZIkSQUwlEmSJBXAUCZJklQAQ5kkSVIBDGWSJEkFMJRJkiQVwFAmSZJUAEOZJElSAQxlkiRJBTCUSZIkFcBQJkmSVABDmSRJUgFmN92AJElTYWhoiJGRkabbmJTR0VEABgYGGu5kYgYHB2m1Wk23MWMYyiRJM9LIyAg3LV3K05tuZBLuqz/fvXx5o31MxO+abmAGMpRJkmaspwPvIJpuY8K+QgLrR89jvap/vKdMkiSpAIYySZKkAhjKJEmSCmAokyRJKoChTJIkqQCGMkmSpAIYyiRJkgpgKJMkSSqAoUySJKkAhjJJkqQCGMokSZIKYCiTJEkqgKFMkiSpAIYySZKkAhjKJEmSCmAokyRJKoChTJKAoaEhhoaGmm5DUsOafC2Y3chRJakwIyMjTbcgqQBNvhY4UyZJklQAQ5kkSVIBDGWSJEkFMJRJkiQVwFAmSZJUAEOZJElSAQxlkiRJBTCUSZIkFcBQJkmSVABDmSRJUgEMZZIkSQUwlEmSJBXAUCZJklQAQ5kkSVIBDGWSJEkFmPJQFhEZESe1LS+KiOPXsea8iPi7dW7u0XrzI+K1/arX4xgfiogjOtY9LSLOjYhrIuLGiPiPqexBkiSVazpmyh4EDo2IrfpYcx7QNZRFxOy1qDcfmFQoi8pkxu8A4MKOdZ8ALsrMF2XmTsCxk+lBkiTNHGsTYCbrYeA04H3Ace1PRMSzgK8CWwPLgKMy8/aObV4JnFIvJrA3cALwgohYCpwJ/BH4S2BTYPOI+ASwKDMPrmt8EViSmWdExB51vc2pAuOrqcLRnIh4OfBp4AXAisw8sd7/euDguofzgIuBvYBDIuKNwBuBTYAfZObHOgcgIp4IbJyZyzqe2pa2oJaZ17bt84FudSPiOOCtwG/qMbsyM0+MiMX1OS+pA/CSzJwXEbPq8dqnrnVqZn45IvYBjgeWAzsDVwJvzszsMkb7ASu71ek8V2l9NTo6yqpVq2i1Wk23oj4ZHh72Hp0p9Adg2fDwjPs3Mzw8zJw5cxo59nR9v54KHBERT+pY/0Xg65m5C3AWMNRl30XAuzNzPvAKYBXVjNKlmTk/Mz9Xb7cXcGRmvqpXExGxMXA28N7MfBGwP3A/8FHg7Lre2Ws4lx3rnnetH+8A7Ek127Z7ROzdZZ/9gR91WX8q8JWIuDgijouI7eo+D+hWNyJ2Bw4HdgUOBfZYQ68A7wDuycw96u3/PiKeXT+3K7AQ2Al4DvCyHmO0ag11/iwi3hkRSyJiybJlnRlUkiT1Mh0zZWTmvRHxdaBF9QN+zF5U4QLgG8Bnu+x+GXByRJwFfD8zRyOi22Euysy71tDKjsAdmXnFWF8APer1cltmXl4/PqD+uLpenksVpi7p2OdA4GudhTLzgoh4Tv38QcDVEbHzOHW3oJo1W1n3fc4E+j0A2CUi3lAvP6mu9RDwy8wcrWstpbosfA/dx6hXnVs6zuk0qplRFixYkBPoTyrCwMAAAEND3f5vqPVRq9Xi7qVLm25jxnoqsOUOO8y4fzNNzvxNSyirfR64ii7hpM3jfohn5gkR8UOqe74uj4j9e+x7f9vjh3nsLOCm9efodowueu3feZwAPj2By3h7Au/q9kQdJL8FfCsizqW6PNu1bkQsHKf/9p7b+w3gPZl5QUetfaguTY55hOr7odcYda0jSZL6Y9out9fh4ztUl8HG/IzqchzAEcBPO/eLiOdm5nWZ+RlgCfB84D6qWaNebgN2iohN6kum+9XrbwK2q++ZIiK2qN8Y0FnvVmC3epvdgMddpqtdALw9IubW224fEdt09P9C4KbMfKTLub0qIjYb6wV4LnD7OHUvAV4fEXPq7f+qo+fd68dvaFt/AfCuiHhCXet5EbF5j/OB3mM02TqSJGkSpnOmDOAk4Oi25Rbw1fqm9mXAUV32WRgR+1LN5NxIdaP9auDhiLgGOIPqRv8/y8zfRMR3gGuBYerLgJn5UEQcBnwhIuZQXUrdn+rG/WPrS3ifBr4HvLVevgL4VbeTycwLI+IFwM/rS6ArgDcDv2/b7CDg/B7jsTvwxYgYm+U6feyyYbe6mXlVRJwNLKUKnpe21ToR+E5EvAX4cdv606kuS14VVbFlwCE9+hlvjCZVR5IkTc6Uh7LMnNv2+E5gs7blW4GeN+bX27ynx1P7dSyf0bHfMcAxXepdAbykS73Om+YP6HHcnTvqncKj7w7t5jVU75Z8nMz8J+CfejzXtW5mfgr4FED773vLzJuAXdo2/Ui9fjXw4fqj3eL6Y2z/o9se9xqjbnUkSVIfTPdM2QYnM1/ddA+SJKl8hrL1WGYe33QPkiSpP/y9epIkSQUwlEmSJBXAUCZJklQAQ5kkSVIBDGWSJEkFMJRJkiQVwFAmSZJUAEOZJElSAQxlkiRJBTCUSZIkFcBQJkmSVAD/9qUkAYODg023IKkATb4WGMokCWi1Wk23IKkATb4WePlSkiSpAIYySZKkAhjKJEmSCmAokyRJKoChTJIkqQCGMkmSpAIYyiRJkgpgKJMkSSqAoUySJKkAhjJJkqQCGMokSZIKYCiTJEkqgKFMkiSpAIYySZKkAhjKJEmSCmAokyRJKsDsphuQJGmq/A74Ctl0GxN2R/15fej5d8CWTTcxwxjKJEkz0uDgYNMtTNqK0VEAthwYaLiTNduS9XOMS2YokyTNSK1Wq+kWpEnxnjJJkqQCGMokSZIKYCiTJEkqgKFMkiSpAIYySZKkAhjKJEmSCmAokyRJKoChTJIkqQCRWf6fctD6KSLuA25uuo8ZbitgedNNzHCO8fRwnKeeYzz1dszMLdZ2Z3+jv6bSzZm5oOkmZrKIWOIYTy3HeHo4zlPPMZ56EbFkXfb38qUkSVIBDGWSJEkFMJRpKp3WdAMbAMd46jnG08NxnnqO8dRbpzH2Rn9JkqQCOFMmSZJUAEOZJElSAQxl6ruIODAibo6IkYg4tul+ZoKIeEZEXBwR/xURN0TEe+v1T4mIiyJiuP785KZ7Xd9FxKyIuDoizq2XHeM+i4gtI+K7EXFT/T29l+PcXxHxvvq14vqI+HZEbOoYr7uI+GpE/D4irm9b13NcI+JD9c/CmyPiNWuqbyhTX0XELOBU4CBgJ+BNEbFTs13NCA8D78/MFwAvAd5dj+uxwI8ycwfgR/Wy1s17gf9qW3aM++8U4PzMfD7wIqrxdpz7JCK2B1rAgszcGZgFHI5j3A9nAAd2rOs6rvVr9OHAC+t9vlT/jOzJUKZ+2xMYycxfZ+ZDwL8Cr2u4p/VeZt6RmVfVj++j+iG2PdXYnllvdiZwSCMNzhARMQD8JXB622rHuI8i4onA3sBXADLzocy8G8e532YDcyJiNrAZ8Fsc43WWmZcAd3Ws7jWurwP+NTMfzMxbgBGqn5E9GcrUb9sDv2lbHq3XqU8iYh6wK/AL4GmZeQdUwQ3YpsHWZoLPA8cAq9vWOcb99RxgGfC1+jLx6RGxOY5z32Tm/wAnArcDdwD3ZOaFOMZTpde4TvrnoaFM/RZd1vl7V/okIuYC3wMWZua9Tfczk0TEwcDvM/PKpnuZ4WYDuwH/nJm7AvfjZbS+qu9peh3wbGA7YPOIeHOzXW2QJv3z0FCmfhsFntG2PEA1ba51FBFPoApkZ2Xm9+vVd0bEtvXz2wK/b6q/GeBlwF9HxK1Ul91fFRHfxDHut1FgNDN/US9/lyqkOc79sz9wS2Yuy8w/Ad8HXopjPFV6jeukfx4aytRvVwA7RMSzI2Jjqpscz2m4p/VeRATVPTj/lZkntz11DnBk/fhI4N+nu7eZIjM/lJkDmTmP6vv2x5n5ZhzjvsrM3wG/iYgd61X7ATfiOPfT7cBLImKz+rVjP6r7UB3jqdFrXM8BDo+ITSLi2cAOwC/HK+Rv9FffRcRrqe7NmQV8NTM/1WxH67+IeDlwKXAdj97v9GGq+8q+AzyT6oX4bzOz8yZUTVJE7AMsysyDI+KpOMZ9FRHzqd5MsTHwa+AoqkkCx7lPIuLjwGFU79y+GvhfwFwc43USEd8G9gG2Au4EPgb8Gz3GNSKOA95O9XVYmJnnjVvfUCZJktQ8L19KkiQVwFAmSZJUAEOZJElSAQxlkiRJBTCUSZIkFcBQJkmSVABDmSQVKiIWR8QXx3k+2z5WRsSvI+Jb9e+1a99uXse2KyLi5vrvTu7Stt0ZHds97mMqz1fa0BnKJGn99vfAtsALgHcADwGXRMQHumx7YL3tXwDvo/rDyVdGxOH18++tnx/7WAks7FgnaYrMbroBSdpQRcRi4CbgQeCt9erTgQ9m5upe+3W4u/7TRQC3ARdHxG+BT0fEDzJzpG3bP7RtewvwHxHxLeBfIuL8zLwbuKetvwTuadtH0hRypkySmnUE1WvxXsD/Bt5JNTu1Lk6qax4ygW1PBJ5E9UesJTXImTJJatYdQCurv3l3U0Q8D/gH4OTxd+stM/8QEb8HnjOBzW+sP09kW0lTyJkySWrW5fnYP0L8c2D7iHjiOtYNYCI35kf92Zv4pYYZyiRphomIrYCtgV9PYPOd6s8T2VbSFDKUSVKzXhwR0bb8EuC3mXnvOtR8P7Aa+PcJbLuI6ub+/1yH40nqA+8pk6RmbQd8PiK+RPWrKj4AfLLt+a0iYn7HPr/PzN/Wj7eMiKcDGwPPBY6keifnMR3vvAR4ar3tHOD5wLuAg4C3ZOY9SGqUoUySmnUWMAv4BdV9XV8BPtf2/GH1R7uTqGa4AP5v/flBqjcNXA7sk5mXdDnW+fXnVcAocCmwIDOvWcdzkNQH8dj7SyVJ06X+PWXXZ+bRTfciqXneUyZJklQAQ5kkSVIBvHwpSZJUAGfKJEmSCmAokyRJKoChTJIkqQCGMkmSpAIYyiRJkgrw/wHRvzpfJcHCCwAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 576x504 with 1 Axes>"
       ]
@@ -250,13 +254,11 @@
    ],
    "source": [
     "fig, ax = plt.subplots(figsize=(8, 7))\n",
-    "ordered = annotations_complete[['annotation_category', 'plddt']].groupby('annotation_category').apply(np.median).sort_values(ascending=False).index\n",
-    "counts = annotations_complete.groupby(['annotation_category']).apply(len)\n",
-    "sns.boxplot(data=annotations_complete, y='annotation_category', x='plddt', ax=ax, fliersize=0)\n",
-    "ax.set_yticklabels(cats)\n",
+    "sns.boxplot(data=annotations_complete, y='annotation_category', x='plddt', ax=ax, fliersize=0, order = annotations_complete['annotation_category'].value_counts().index)\n",
     "ax.set_xlim(0, 100);\n",
-    "plt.xlabel('pLDDT', fontsize=14)\n",
+    "plt.xlabel('pLDDT', fontsize=18)\n",
     "ax.set(ylabel=None);\n",
+    "plt.tick_params(left = False, labelleft = False)\n",
     "plt.savefig('./figures/analysis-annotation_cat-plddt.svg')"
    ]
   },
@@ -265,12 +267,12 @@
    "id": "6028d3af-b863-4afd-8c48-24e123b47bf4",
    "metadata": {},
    "source": [
-    "As expected, plddt is higher in cases where structural annotation is available. However in cases where only sequence annotation is availabe, plddt is similarly high. This fact would make us rethink the bit score cutoff again."
+    "As expected, plddt is higher in cases where structural annotation is available. However in cases where only sequence annotation is availabe, plddt is similarly high."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 102,
    "id": "f55dad42-94f1-4b85-8202-4cbe49d213e1",
    "metadata": {
     "tags": []
@@ -278,7 +280,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 576x504 with 1 Axes>"
       ]
@@ -291,13 +293,11 @@
    ],
    "source": [
     "fig, ax = plt.subplots(figsize=(8, 7))\n",
-    "ordered = annotations_complete[['annotation_category', 'MSA size']].groupby('annotation_category').apply(np.median).sort_values(ascending=False).index\n",
-    "counts = annotations_complete.groupby(['annotation_category']).apply(len)\n",
-    "sns.boxplot(data=annotations_complete, y='annotation_category', x='MSA size', ax=ax, fliersize=0)\n",
+    "sns.boxplot(data=annotations_complete, y='annotation_category', x='MSA size', ax=ax, fliersize=0, order = annotations_complete['annotation_category'].value_counts().index)\n",
     "ax.set_xlim(-1000, 25000)\n",
-    "ax.set_yticklabels(cats)\n",
-    "plt.xlabel('MSA size', fontsize=14)\n",
+    "plt.xlabel('MSA size', fontsize=18)\n",
     "ax.set(ylabel=None);\n",
+    "plt.tick_params(left = False, labelleft = False)\n",
     "plt.savefig('./figures/analysis-annotation_cat-msa.svg')"
    ]
   },
@@ -311,13 +311,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 104,
    "id": "864fc6b0-293d-4942-a0e4-b8f80af31fee",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 576x504 with 1 Axes>"
       ]
@@ -330,19 +330,17 @@
    ],
    "source": [
     "fig, ax = plt.subplots(figsize=(8, 7))\n",
-    "ordered = annotations_complete[['annotation_category', 'bit score']].groupby('annotation_category').apply(np.median).sort_values(ascending=False).index\n",
-    "counts = annotations_complete.groupby(['annotation_category']).apply(len)\n",
-    "sns.boxplot(data=annotations_complete, y='annotation_category', x='bit score', ax=ax, fliersize=0)\n",
-    "ax.set_xlim(-50, 3000)\n",
-    "plt.xlabel('FoldSeek bit score', fontsize=14)\n",
+    "sns.boxplot(data=annotations_complete, y='annotation_category', x='bit score', ax=ax, fliersize=0, order=annotations_complete['annotation_category'].value_counts().index)\n",
+    "ax.set_xlim(-50, 3200)\n",
+    "plt.xlabel('FoldSeek bit score', fontsize=18)\n",
     "ax.set(ylabel=None);\n",
-    "ax.set_yticklabels(cats)\n",
+    "plt.tick_params(left = False, labelleft = False)\n",
     "plt.savefig('./figures/analysis-annotation_cat-bitscore.svg')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 105,
    "id": "c4de15a0-0399-4a60-8cfc-fdb75ca8da6f",
    "metadata": {
     "tags": []
@@ -355,13 +353,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "id": "86535b4e-6c9d-4758-a0b5-fe927c1a2295",
+   "execution_count": 107,
+   "id": "0cd8bd51-64ee-41e4-be03-a7093f6f123b",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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Z+5bl3l3W/0Jguy79Z1PgmzT9/zHPObD6t1eWAp8DNuvWJ+jYN7qUNdZ+tR3NcxMj33wYXJP+Pdb2BV5M0z+Xs+rbFXNH2X7H0JyAltJ88+KLrP6thNH6+qNt25p2f5oHWO8t/448JPtUVn1DZWmZd9cy7h9p+vPysm27PuxLcyvkP0s9fkHzXNKjzyXQOq6Nss06n2F4dPqx2r7bvkVz9eiqUufFNGF71P7Ruf2YxHFitG3fGr8bzTMp99Dclhl5TuX5NFc6ltM8wH0CcEVrvqNpjsVLKd+Qozkm/JBV33g5l/LsCbB3WdflZfhXWL1fH13WZWT/7Rut7TuH0eybH6Z57us+mluoA+PtS1P9GvkGhSRJWo9ExPeBUzPzs72uy1Tx9ookSeuBiHhBRDyl3F45gubq5Nd6Xa+p5F8klSRp/bAzzXNZc2luo7wqM2/vbZWmlrdXJElSFd5ekSRJVXh7ZRK22mqrXLhwYa+rIUlSFVddddVdmbn1+FNOjKFjEhYuXMiiRYt6XQ1JkqqIiM6/gLtWvL0iSZKqMHRIkqQqDB2SJKkKQ4ckSarC0CFJkqowdEiSpCoMHZIkqQr/Tsc0Mjg4yNDQ0BrNOzw8DEBfX99UVmmN9Pf3MzAw0OtqSJKmmKFjGhkaGuKa63/EI5ttOel5N3rgXgDueKi3XWKjB+7u6fIlSeuOoWOaeWSzLXlw15dPer5Nf3QBwBrNO5VG6iFJmn58pkOSJFVh6JAkSVUYOiRJUhWGDkmSVIWhQ5IkVWHokCRJVRg6JElSFYYOSZJUhaFDkiRVYeiQJElVGDokSVIVhg5JklSFoUOSJFVh6JAkSVUYOiRJUhWGDkmSVIWho0cGBwcZHBzsdTW0AbLvSNpQze51BWaqoaGhXldBGyj7jqQNlVc6JElSFYYOSZJUhaFDkiRVYeiQJElVGDokSVIVhg5JklSFoUOSJFVh6JAkSVUYOiRJUhWGDkmSVIWhQ5IkVWHokCRJVRg6JElSFYYOSZJURZXQERHHRsRmNZYlSZLWT7WudBwLdA0dETGrUh0kSVIPTXnoiIjNI+LCiLg2Im6IiA8A2wDfjohvl2mWR8QJEfF9YL9RyrklIj4YEVdHxPURsUsZvmVEfDUirouI70XE7mX4CyJicXldExHzyvC/jogfluk/2Cr/fRFxU0R8MyK+EBHvnuq2kCRJq8xeB2UeDPwqMw8FiIgtgCOBF2bmXWWazYEbMvP945R1V2buGRF/AbwbeDPwQeCazHxlRLwIOAPYo4w/JjOvjIi5wIMRcRCwI7APEMD5EfF84H7gtcCzadrgauCqqVn9iRkeHmbFihUMDAxMWZlLliwhfpdTVl4vxIP3sWTJsiltl+lmyZIlzJkzp9fVkKRJWxe3V64HDoyIj0TE8zLz3i7TrAS+PIGyvlL+vQpYWN7vD5wJkJn/AzyxBJsrgVMiYgCYn5kPAweV1zU0wWIXmhDyPOC8zHwgM+8Dzh+tAhHx1ohYFBGL7rzzzglUWZIkdTPlVzoy86cRsRfwMuDEiPh6l8kezMyVEyjuofLvSlbVNbovNk+KiAvLcr8XEQeWaU/MzH9tTxwRxwITuiSQmacBpwHsvffeU3YZoa+vD4DBwcGpKpKBgQGuuvnXU1ZeL+Smj2fHHZ4ype0y3XgVSNKGal0807EN8EBmngWcDOwJLAPmTdEiLgNeV5Z1AM0tmPsiYofMvD4zPwIsormqcTFwVLndQkQsiIgnlTIOj4g55dmPV0xR3SRJ0ijWxTMdfwB8NCIeAX4PvI3mYdGLIuL2zHzhWpZ/PPDZiLgOeAA4ogw/NiJeSHNV5EfARZn5UEQ8A/huRAAsB16fmVdHxNnAYuAXwOVrWSdJkjSOdXF75WKaKwxti4BPtqaZO4FyFrbeLwIOKO/vBg7rMv3bRynnE8Anugz/EPAhgIg4frz6SJKkteNfJJUkSVWsi9srkxIR5wFP6xj83nLFpIrMPL7WsiRJmql6Hjoy8/Be10GSJK173l6RJElVGDokSVIVhg5JklSFoUOSJFVh6JAkSVUYOiRJUhWGDkmSVIWhQ5IkVWHokCRJVRg6JElSFYYOSZJURc9/e2Wm6u/v73UVtIGy70jaUBk6emRgYKDXVdAGyr4jaUPl7RVJklSFoUOSJFVh6JAkSVUYOiRJUhWGDkmSVIWhQ5IkVWHokCRJVRg6JElSFYYOSZJUhaFDkiRVYeiQJElVGDokSVIVhg5JklSFoUOSJFVh6JAkSVUYOiRJUhWze10BTa2NHribTX90wRrM91uANZp3Km30wN3AU3paB0nSumHomEb6+/vXeN7h4YcB6Ovr9Qn/KWu1HpKk9ZehYxoZGBjodRUkSRqVz3RIkqQqDB2SJKkKQ4ckSarC0CFJkqowdEiSpCoMHZIkqQpDhyRJqsLQIUmSqjB0SJKkKgwdkiSpCkOHJEmqwtAhSZKqMHRIkqQqDB2SJKkKQ4ckSarC0CFJkqqY3esKaMM3ODjI0NBQr6sxJYaHhwHo6+vrcU00or+/n4GBgV5XQ9IUMHRorQ0NDfHTG65mu7kre12VtXb/slkAPPjw7T2uiQB+uXxWr6sgaQoZOjQltpu7kr/de3mvq7HW/mHRXIBpsS7Twcj2kDQ9+EyHJEmqwtAhSZKqMHRIkqQqDB2SJKkKQ4ckSarC0CFJkqowdEiSpCoMHZIkqQpDhyRJqsLQIUmSqjB0SJKkKgwdkiSpCkOHJEmqwtAhSZKqMHRIkqQqDB2SJKkKQ0ePDQ4OMjg42OtqSJK0zs3udQVmuqGhoV5XQZKkKrzSIUmSqjB0SJKkKgwdkiSpCkOHJEmqwtAhSZKqMHRIkqQqDB2SJKkKQ4ckSarC0CFJkqowdEiSpCoMHZIkqQpDhyRJqsLQIUmSqjB0SJKkKgwdkiSpivU2dETEsRGxWa/rIUmSpsZ6GzqAY4GuoSMiZtWtiiRJWluze10BgIjYHDgH6ANmAecC2wDfjoi7MvOFEbEcOAV4KfAu4Iou5ZwE/BHwMPD1zHx3RGwNnApsVyY7NjOvjIgnAl8AtgZ+ABwM7JWZd63DVX2M4eFhVqxYwcDAQM3FTqklS5bwuN+vz/lVG6o7HtiI3y1ZskHvH5JWWS9CB80J/1eZeShARGwBHAm8sBUCNgduyMz3dysgIrYEDgd2ycyMiPll1CeAj2XmFRGxHXAx8AzgA8AVmXlCRBwKvHWUct86Mm677bbrNokkSZqA9SV0XA+cHBEfAS7IzMsjonOalcCXxyjjPuBB4N8j4kLggjL8QGDXVnmPj4h5wPOBPwbIzAsj4p5uhWbmacBpAHvvvXdOdsXG09fXB8Dg4OBUF13NwMAAD97yw15XQ9PQkzd7hE0X7rhB7x/ShuyTn/zklJa3XoSOzPxpROwFvAw4MSK+3mWyBzNz5RhlPBwR+wAvBl4L/CXwIprnVvbLzBXt6UsImfIQIUmSulsvbsRHxDbAA5l5FnAysCewDJg3iTLmAltk5n/TPIS6Rxn1dZoAMjLdyPDLgNeVYYcAT1ibdZAkSWNbL650AH8AfDQiHgF+D7wN2A+4KCJuz8wXTqCMecB/RsSmQADvLMMHgE9FxHU063sZcDTwQeALEXE1cCnwy6lcIUmStLr1InRk5sU0D3i2LQI+2Zpm7jhl3A7s02X4XcBrugz/LXDQyOeIOHxytZYkSZOxXtxekSRJ0996caVjsiLiPOBpHYPfW66YrJHMXLhWlZIkSWPaIENHZnorRJKkDYy3VyRJUhWGDkmSVIWhQ5IkVWHokCRJVRg6JElSFYYOSZJUhaFDkiRVYeiQJElVGDokSVIVhg5JklTFBvln0KeT/v7+XldBkqQqDB09NjAw0OsqSJJUhbdXJElSFYYOSZJUhaFDkiRVYeiQJElVGDokSVIVhg5JklSFoUOSJFVh6JAkSVUYOiRJUhWGDkmSVIWhQ5IkVWHokCRJVRg6JElSFYYOSZJUhaFDkiRVYeiQJElVzO51BTQ9/HL5LP5h0dxeV2Ot/WLZLIBpsS7TwS+Xz2KnXldC0pQxdGit9ff397oKU2bz4WEANu3r63FNBLAT06t/STOdoUNrbWBgoNdVkCRtAHymQ5IkVWHokCRJVRg6JElSFYYOSZJUhaFDkiRVYeiQJElVGDokSVIVhg5JklSFoUOSJFVh6JAkSVUYOiRJUhWGDkmSVIWhQ5IkVWHokCRJVRg6JElSFYYOSZJUxexeV2CmGBwcZGhoCIDh4WEA+vr6Hh3f39/PwMBAT+omSVINho5KhoaGuObGa2A+cG8z7M64s3mztEeVkiSpIm+v1DQfHjngkSZ4lPePfpYkaZozdEiSpCoMHZIkqQpDhyRJqsLQIUmSqjB0SJKkKgwdkiSpCkOHJEmqwtAhSZKqMHRIkqQqDB2SJKkKQ4ckSarC0CFJkqowdEiSpCoMHZIkqQpDhyRJqsLQIUmSqjB0TKHBwUEGBwc3+GVIkrQuzO51BaaToaGhabEMSZLWBa90SJKkKgwdkiSpCkOHJEmqwtAhSZKqMHRIkqQqDB2SJKkKQ4ckSarC0CFJkqowdEiSpCoMHZIkqQpDhyRJqsLQIUmSqjB0SJKkKgwdkiSpCkOHJEmqokroiIgDIuK5NZYlSZLWT7WudBwAdA0dETG7Uh0kSVIPjXvCj4iFwEXAFTTB4TbgMGBn4FRgM+Bm4KjMvCciBoCjgYeBHwHHlc8rI+L1wNuBNwF3A88Grgbe1WW5xwPbAU8v/348MwfLuL8CjiqT/ntmfjwiNgfOAfqAWcDfZ+bZEbEXcAowF7gL+PPMvL0M/wzwQFm3QzJzt4k1W3fDw8OsWLGCgYGBx4xbsmQJPDLKjMub8d3m61bOnDlz1qaakiT1xESvdOwIfCoznwksBf4EOAN4b2buDlwPfKBMexzw7DL86My8hSacfCwz98jMy8t0OwEHZuZjAkfLLsBLgX2AD0TExiUsHAnsCzwHeEtEPBs4GPhVZj6rhIevRcTGwCeBV2XmSMj4UCn7s8BAZu431opHxFsjYlFELLrzzjsn0FSSJKmbid7a+HlmLi7vrwJ2AOZn5qVl2OeAc8v764DPR8RXga+OUea5mblynOVemJkPAQ9FxG+AJwP7A+dl5v0AEfEV4HnA14CTI+IjwAWZeXlE7AbsBnwjIqC5AnJ7RGzRUf8zgUO6VSAzTwNOA9h7771zrMr29fUBMDg4+JhxAwMDXHPbNd1nnAs7Ltix63zdypEkaUM00SsdD7XerwTmjzHtocCngL2Aq8Z4ZuP+NVjubCC6TZiZPy3LvB44MSLeX6a9sVxh2SMz/yAzDyrDxwwQkiRpaq3pg6T3AvdExPPK5zcAl0bERsC2mflt4D004WQusAyYt5Z1HXEZ8MqI2Kw8x3E4cHlEbAM8kJlnAScDewI3AVtHxH4A5fbMMzNzKXBvROxfynzdFNVNkiSNYm2+OXIEcGpEbAb8jOY5i1nAWeX2RdA8x7E0Iv4L+FJEHEbzIOkay8yrI+J04Adl0L9n5jUR8VLgoxHxCPB74G2Z+buIeBUwWOo0G/g4cGOp72ci4gHg4rWpkyRJGt+4oaM8CLpb6/PJrdHP6TLL/p0Dyq2P3VuDLu+cpss8x3d8btfhFJpvpLTHX0yX8FCeRXl+l+FXAc+CR7+h86rx6iRJktacf5FUkiRV0fM/zBURRwLv6Bh8ZWYeU6sOnVdzJEnS1Ot56MjMz9L8zQxJkjSNeXtFkiRVYeiQJElVGDokSVIVhg5JklSFoUOSJFVh6JAkSVUYOiRJUhWGDkmSVIWhQ5IkVWHokCRJVfT8z6BPJ/39/dNiGZIkrQuGjik0MDAwLZYhSdK64O0VSZJUhaFDkiRVYeiQJElVGDokSVIVhg5JklSFoUOSJFVh6JAkSVUYOiRJUhWGDkmSVIWhQ5IkVWHokCRJVRg6JElSFYYOSZJUhaFDkiRVYeiQJElVGDokSVIVs3tdgRllKWx0yUawtPm40SUbPTqcBb2pkiRJtRg6Kunv73/0/XAOA9C3oK8ZsGD18ZIkTUeGjkoGBgZ6XQVJknrKZzokSVIVhg5JklSFoUOSJFVh6JAkSVUYOiRJUhWGDkmSVIWhQ5IkVWHokCRJVRg6JElSFYYOSZJUhaFDkiRVYeiQJElVGDokSVIVhg5JklSFoUOSJFVh6JAkSVXM7nUFZpLBwUGGhoYAGB4eBqCvr+8x0/X39zMwMFC1bpIkrWuGjoqGhob4yeLFPAVYVoYtveuu1ab5dfVaSZJUh6GjsqcAbyL4NAnlfdvIcEmSphuf6ZAkSVUYOiRJUhWGDkmSVIWhQ5IkVWHokCRJVRg6JElSFYYOSZJUhaFDkiRVYeiQJElVGDokSVIVhg5JklSFoUOSJFVh6JAkSVUYOiRJUhWGDkmSVIWhQ5IkVWHomGKDg4MMDg5O+2VKkjRZs3tdgelmaGhoRixTkqTJ8kqHJEmqwtAhSZKqMHRIkqQqDB2SJKkKQ4ckSarC0CFJkqowdEiSpCoMHZIkqQpDhyRJqsLQIUmSqjB0SJKkKgwdkiSpCkOHJEmqwtAhSZKqMHRIkqQq1svQEREHRMRze10PSZI0ddbL0AEcAHQNHRExu25VJEnSVJjyE3hELAQuAq6gCQ63AYcBOwOnApsBNwNHZeY9ETEAHA08DPwIOK58XhkRrwfeDrwJuBt4NnA18K4uy30B8InyMYHnZ+ayiPhr4E+BTYDzMvMDZfr3AW8EbgXuBK7KzJPXdv2Hh4dZsWIFAwMDjxm3ZMmScVPeb4E7lyzpOv9olixZwpw5cyZXUUmSKltXVw12BP4sM98SEecAfwK8B3h7Zl4aEScAHwCOpQkZT8vMhyJifmYujYhTgeUjISAi3gTsBByYmStHWea7gWMy88qImAs8GBEHlbrsAwRwfkQ8H7gfeC1NiJlNE2Su6lZoRLwVeCvAdtttt3atIknSDLauQsfPM3NxeX8VsAMwPzMvLcM+B5xb3l8HfD4ivgp8dYwyzx0jcABcCZwSEZ8HvpKZwyV0HARcU6aZSxNC5tFc9XgAICLOH63QzDwNOA1g7733zjGWD0BfXx8Ag4ODjxk3MDDA0sWLx5z/icD8HXfsOv9oJnNVRJKkXllXz3Q81Hq/Epg/xrSHAp8C9gKuGuOZjfvHWmBmngS8GZgDfC8idqG5unFiZu5RXv2Z+emRWcZfDUmSNFVqPUh6L3BPRDyvfH4DcGlEbARsm5nfprn9Mp/masQymqsRExYRO2Tm9Zn5EWARsAtwMXBUud1CRCyIiCcBlwGHR8SciJgHvGKt11CSJI2p5jdBjgBOjYjNgJ8BRwKzgLMiYguaqxIfK890/BfwpYg4jOZB0ok4NiJeSHNl5UfAReU5kWcA340IgOXA6zPz6og4G1gM/AK4fMrWUpIkdTXloSMzbwF2a31ufyPkOV1m2b9LGT8Fdm8NGjcUZGbXcJKZn2DVt1rawz8EfAggIo4fr3xJkrR21te/0yFJkqaZDe4PbUXEkcA7OgZfmZnHrGmZmXn8WlVKkiSNa4MLHZn5WeCzva6HJEmaHG+vSJKkKgwdkiSpCkOHJEmqwtAhSZKqMHRIkqQqDB2SJKkKQ4ckSarC0CFJkqowdEiSpCoMHZIkqYoN7s+gr+/6+/tnxDIlSZosQ8cUGxgYmBHLlCRpsry9IkmSqjB0SJKkKgwdkiSpCkOHJEmqwtAhSZKqMHRIkqQqDB2SJKkKQ4ckSarC0CFJkqowdEiSpCoMHZIkqQpDhyRJqsLQIUmSqjB0SJKkKgwdkiSpCkOHJEmqYnavKzDT/Br4NMnt5fOnyceMn1+5TpIk1WDoqKi/v//R98uHhwGY39e32jTzO6aTJGm6MHRUNDAw0OsqSJLUMz7TIUmSqjB0SJKkKgwdkiSpCkOHJEmqwtAhSZKqMHRIkqQqDB2SJKkKQ4ckSaoiMnP8qQRARNwJ/GKU0VsBd1WszobINpoY22l8ttH4bKPx2Ubj2zkz501VYf5F0knIzK1HGxcRizJz75r12dDYRhNjO43PNhqfbTQ+22h8EbFoKsvz9ookSarC0CFJkqowdEyd03pdgQ2AbTQxttP4bKPx2Ubjs43GN6Vt5IOkkiSpCq90SJKkKgwdkiSpCkPHFIiIgyPipogYiojjel2fXoqIWyLi+ohYPPJVq4jYMiK+ERFLyr9PaE3/N6XdboqIl/au5utORHwmIn4TETe0hk26TSJir9K2QxExGBFRe13WlVHa6PiIuK30pcUR8bLWuJnYRttGxLcj4scRcWNEvKMMty8VY7SRfamIiE0j4gcRcW1pow+W4XX6UWb6WosXMAu4GXg68DjgWmDXXterh+1xC7BVx7B/BI4r748DPlLe71raaxPgaaUdZ/V6HdZBmzwf2BO4YW3aBPgBsB8QwEXAIb1et3XcRscD7+4y7Uxto6cCe5b384CflrawL43fRvalVescwNzyfmPg+8BzavUjr3SsvX2Aocz8WWb+DvgicFiP67S+OQz4XHn/OeCVreFfzMyHMvPnwBBNe04rmXkZcHfH4Em1SUQ8FXh8Zn43m739jNY8G7xR2mg0M7WNbs/Mq8v7ZcCPgQXYlx41RhuNZia2UWbm8vJx4/JKKvUjQ8faWwDc2vo8zNidfLpL4OsRcVVEvLUMe3Jm3g7NQQF4Uhk+k9tusm2yoLzvHD7d/WVEXFduv4xc7p3xbRQRC4Fn0/wv1b7URUcbgX3pURExKyIWA78BvpGZ1fqRoWPtdbuHNZO/h/yHmbkncAhwTEQ8f4xpbbvHGq1NZmJb/QuwA7AHcDvw/8rwGd1GETEX+DJwbGbeN9akXYbNiHbq0kb2pZbMXJmZewB9NFctdhtj8iltI0PH2hsGtm197gN+1aO69Fxm/qr8+xvgPJrbJXeUS3GUf39TJp/JbTfZNhku7zuHT1uZeUc5OD4C/Burbr3N2DaKiI1pTqafz8yvlMH2pZZubWRf6i4zlwKXAAdTqR8ZOtbeD4EdI+JpEfE44LXA+T2uU09ExOYRMW/kPXAQcANNexxRJjsC+M/y/nzgtRGxSUQ8DdiR5sGkmWBSbVIudy6LiOeUJ8Tf2JpnWho5ABaH0/QlmKFtVNbp08CPM/OU1ij7UjFaG9mXVomIrSNifnk/BzgQ+Am1+lGvn6SdDi/gZTRPSd8MvK/X9elhOzyd5inna4EbR9oCeCLwLWBJ+XfL1jzvK+12E9Pk6fAu7fIFmku6v6f538Gb1qRNgL1pDpY3A/9E+YvC0+E1ShudCVwPXFcOfE+d4W20P83l6+uAxeX1MvvShNrIvrRqvXYHriltcQPw/jK8Sj/yz6BLkqQqvL0iSZKqMHRIkqQqDB2SJKkKQ4ckSarC0CFJkqowdEha5yJifkT8xRrMd3xEvLvL8NMj4lVdhu8dEYPl/QER8dw1q7GkdcHQIWlcETF7rM8TMB+YdOiYrMxclJkD5eMBQJXQsQbtIc1Ihg5pBomIN5Yfvbo2Is4sw7aPiG+V4d+KiO3K8NMj4pSI+DbwkS6fd4iIr5Uf97s8InYp8z05Is4ry7i2XG04CdghIhZHxEfLdH8dET8sy/1gq47vi4ibIuKbwM5jrM6BZbk/jYiXl3kPiIgLyo99HQ28syzzeR3t8IIyfHFEXNP6S7rviYjrS71PKsP2iIjvlXqeF+XHwiLikoj4cERcCrwjIvaKiEtLe1zc8VcwJQGmc2mGiIhn0vxlwT/MzLsiYssy6p+AMzLzcxFxFDDIqp+o3gk4MDNXRsTpHZ+/BRydmUsiYl/gn4EXlfkvzczDI2IWMBc4Dtgtmx+ZIiIOovlzyvvQ/HDU+dH8OOD9ND8l8Gya49PVwFWjrNJC4AU0P+T17YjoHxmRmbdExKnA8sw8ucu87waOycwro/lxsAcj4pCy3vtm5gOt9jkDeHtmXhoRJwAfAI4t4+Zn5gui+b2PS4HDMvPOiHgN8CHgqFHqLs1Ihg5p5ngR8KXMvAsgM+8uw/cD/ri8PxP4x9Y852bmys7P5UT9XODc5mcXANiktZw3lmWsBO6NVT8lPuKg8rqmfJ5LE0LmAedl5gMAETHW7xidk80PeC2JiJ8Bu4y18h2uBE6JiM8DX8nM4Yg4EPjsyLIz8+6I2IImWFxa5vsccG6rnLPLvzsDuwHfKO0xi+bPuktqMXRIM0cwsZ/nbk9zf8e4kc8bAUtHrlysYV1OzMx/XW1gxLETrCNdppvwbzpk5kkRcSHN73J8rwSOibZP20h7BHBjZu43yfmlGcVnOqSZ41vAn0bEEwFatw++Q3NLA+B1wBXjFZSZ9wE/j4hXl7IiIp7VWs7byvBZEfF4YBnNVYwRFwNHlSsmRMSCiHgScBlweETMKc9ZvGKMarw6IjaKiB1ofmzwpo7xnct8VETskJnXZ+ZHgEU0V0m+Xuq0WZlmy8y8F7in9UzIG2huo3S6Cdg6IvYr825cbmdJajF0SDNEZt5I85zBpRFxLTDy098DwJERcR3NSfUdEyzydcCbSlk3AoeV4e8AXhgR19M8j/HMzPwtcGVE3BARH83MrwP/AXy3TPclYF5mXk1zy2Ix8GXg8jGWfxNNALiI5tmSBzvG/xdNgHnMg6TAsaUu1wIrgIsy82s0v0C6KCIW0zz3Ac3PfH+0tM8ewAmdFcnM3wGvonnA9tpSf7+uK3XwV2YlSVIVXumQJElVGDokSVIVhg5JklSFoUOSJFVh6JAkSVUYOiRJUhWGDkmSVMX/B+3yOJ+UhDI1AAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 576x504 with 1 Axes>"
       ]
@@ -374,24 +372,23 @@
    ],
    "source": [
     "fig, ax = plt.subplots(figsize=(8, 7))\n",
-    "ordered = annotations_complete[['annotation_category', 'corrected bit score']].groupby('annotation_category').apply(np.median).sort_values(ascending=False).index\n",
-    "counts = annotations_complete.groupby(['annotation_category']).apply(len)\n",
-    "sns.boxplot(data=annotations_complete, y='annotation_category', x='corrected bit score', ax=ax, fliersize=0)\n",
-    "ax.set_xlim(-50, 3000)\n",
+    "sns.boxplot(data=annotations_complete, y='annotation_category', x='score', ax=ax, fliersize=0, order = annotations_complete['annotation_category'].value_counts().index)\n",
+    "ax.set_xlim(-10, 700)\n",
+    "plt.xlabel('EggNOG-mapper bit score', fontsize=18)\n",
     "ax.set(ylabel=None);\n",
-    "ax.set_title('Distribution of corrected Foldseek bit scores across annotation categories');\n",
-    "plt.savefig('./figures/analysis-annotation_cat-corrected_bitscore.svg')"
+    "plt.tick_params(left = False, labelleft = False)\n",
+    "plt.savefig('./figures/analysis-annotation_cat-eggnog_score.svg')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "id": "0cd8bd51-64ee-41e4-be03-a7093f6f123b",
+   "execution_count": 13,
+   "id": "56ef9f42-dae1-45e8-bf3a-56c75439d898",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 576x504 with 1 Axes>"
       ]
@@ -404,14 +401,12 @@
    ],
    "source": [
     "fig, ax = plt.subplots(figsize=(8, 7))\n",
-    "ordered = annotations_complete[['annotation_category', 'score']].groupby('annotation_category').apply(np.median).sort_values(ascending=False).index\n",
-    "counts = annotations_complete.groupby(['annotation_category']).apply(len)\n",
-    "sns.boxplot(data=annotations_complete, y='annotation_category', x='score', ax=ax, fliersize=0)\n",
-    "ax.set_xlim(-50, 800)\n",
-    "plt.xlabel('EggNOG-mapper bit score', fontsize=14)\n",
-    "ax.set_yticklabels(cats)\n",
+    "sns.boxplot(data=annotations_complete, y='annotation_category', x='query length', ax=ax, fliersize=0, order = annotations_complete['annotation_category'].value_counts().index)\n",
+    "ax.set_xlim(-10, 900)\n",
+    "plt.xlabel('Spongilla query length', fontsize=18)\n",
     "ax.set(ylabel=None);\n",
-    "plt.savefig('./figures/analysis-annotation_cat-eggnog_score.svg')"
+    "plt.tick_params(left = False, labelleft = False)\n",
+    "plt.savefig('./figures/analysis-annotation_cat-query_length.svg')"
    ]
   },
   {
@@ -424,7 +419,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "id": "468af6c5-1307-4ee8-bdf6-ed28fc984e9d",
    "metadata": {
     "tags": []
@@ -436,7 +431,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "id": "2596e8d5-2891-4d74-abb5-88a9a994832a",
    "metadata": {},
    "outputs": [],
@@ -464,7 +459,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "id": "a07f1413-2d61-4018-8039-3cb200a1eacf",
    "metadata": {},
    "outputs": [
@@ -472,7 +467,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 41945/41945 [00:41<00:00, 1013.04it/s]\n"
+      "100%|██████████| 41945/41945 [00:41<00:00, 1020.44it/s]\n"
      ]
     }
    ],
@@ -497,7 +492,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 29,
    "id": "094776b6-f218-4c90-ae8c-17fd4a523c9f",
    "metadata": {
     "tags": []
@@ -522,7 +517,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 30,
    "id": "85e5dfb8-93bc-47a8-98d5-799be88b69da",
    "metadata": {},
    "outputs": [],
@@ -532,7 +527,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 31,
    "id": "d41b576b-7e56-40f7-82d1-dc468f50f52e",
    "metadata": {},
    "outputs": [
@@ -564,7 +559,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 32,
    "id": "accd3b1c-e6e7-4f1d-83c6-394023e7cf0b",
    "metadata": {},
    "outputs": [],
@@ -574,7 +569,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 33,
    "id": "2bd9094d-7781-4ce4-b427-cbdb961dca6b",
    "metadata": {
     "tags": []
@@ -582,7 +577,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 576x504 with 1 Axes>"
       ]
@@ -595,22 +590,23 @@
    ],
    "source": [
     "fig, ax = plt.subplots(figsize=(8, 7))\n",
-    "ordered = annotations_complete[['annotation_category', 'isoelectric_points']].groupby('annotation_category').apply(np.median).sort_values(ascending=False).index\n",
-    "counts = annotations_complete.groupby(['annotation_category']).apply(len)\n",
-    "sns.boxplot(data=annotations_complete, y='annotation_category', x='isoelectric_points', ax=ax, fliersize=0)\n",
-    "ax.set_xlim(0, 15);\n",
-    "ax.set_title('Distribution of isoelectric points across annotation categories');"
+    "sns.boxplot(data=annotations_complete, y='annotation_category', x='isoelectric_points', ax=ax, fliersize=0, order = annotations_complete['annotation_category'].value_counts().index)\n",
+    "ax.set_xlim(2, 14);\n",
+    "plt.xlabel('isoelectric point', fontsize=18)\n",
+    "ax.set(ylabel=None);\n",
+    "plt.tick_params(left = False, labelleft = False)\n",
+    "plt.savefig('./figures/analysis-annotation_cat-isoelectric_point.svg')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 34,
    "id": "af00b60c-ab1d-420e-a522-ec447d0895ae",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 576x504 with 1 Axes>"
       ]
@@ -623,11 +619,12 @@
    ],
    "source": [
     "fig, ax = plt.subplots(figsize=(8, 7))\n",
-    "ordered = annotations_complete[['annotation_category', 'molecular_weight']].groupby('annotation_category').apply(np.median).sort_values(ascending=False).index\n",
-    "counts = annotations_complete.groupby(['annotation_category']).apply(len)\n",
-    "sns.boxplot(data=annotations_complete, y='annotation_category', x='molecular_weight', ax=ax, fliersize=0)\n",
-    "ax.set_xlim(0, 80000);\n",
-    "ax.set_title('Distribution of molecular weight across annotation categories');"
+    "sns.boxplot(data=annotations_complete, y='annotation_category', x='molecular_weight', ax=ax, fliersize=0, order=annotations_complete['annotation_category'].value_counts().index)\n",
+    "ax.set_xlim(0, 90000);\n",
+    "plt.xlabel('molecular weight (Da)', fontsize=18)\n",
+    "ax.set(ylabel=None);\n",
+    "plt.tick_params(left = False, labelleft = False)\n",
+    "plt.savefig('./figures/analysis-annotation_cat-molecular_weight.svg')"
    ]
   },
   {
@@ -640,13 +637,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 35,
    "id": "d8a25947-ab71-4af7-9f4f-bd154860d735",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAecAAAGxCAYAAABY2n6+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAAV/0lEQVR4nO3df5Ctd10f8Pc3WdJcEpgkBEzMChfdKKTV/hhArLaNM9YKpVUcpbaIpo21KM6ZlqFICzPNVMDS1un0jNopAUQRbTuKPwZhCrZibRWGpIkhRMgeTEhXE0gIiQm5N4Hk6R/nWbJ3797cs3d3z/PZc16vmTNn9zw/vp/nu8857/0+z3POaV3XBQCo46yhCwAATiScAaAY4QwAxQhnAChGOANAMSsHufKLL764O3r06EE2AQBlXH/99fd0Xff0va7nQMP56NGjue666w6yCQAoo7X26f1Yj8PaAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDEH+j5nqG48HmcymcylrY2NjSTJ6urqXNrbtLa2ltFoNNc2gb0Rziy1yWSSGz52Sx578kUH3tZZD92fJPnMw/N72p310L1zawvYP8KZpffYky/K8StecuDtnHvLe5NkLm1tbxM4XJxzBoBihDMAFCOcAaAY4QwAxQhnAChGOANAMcIZAIoRzgBQjHAGgGKEMwAUI5wBoBjhDADFCGcAKEY4A0AxwhkAihHOAFCMcD5kxuNxxuPx0GXA0vHcY55Whi6A3ZlMJkOXAEvJc495MnIGgGKEMwAUI5wBoBjhDADFCGcAKEY4A0AxwhkAihHOAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4AUIxwBoBiVoYugN3Z2NjIsWPHMhqNhi5lIayvr6c90g1dxoFpx/8s6+sP2F/2wfr6eo4cOTJ0GSwJI2cAKMbI+ZBZXV1NkozH44ErWQyj0SjXf+quocs4MN25T83lX3OJ/WUfOPrAPBk5A0AxwhkAihHOAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4AUIxwBoBihDMAFCOcAaAY4QwAxQhnAChGOANAMStDF8DurK2tDV0CLCXPPeZJOB8yo9Fo6BJgKXnuMU8OawNAMcIZAIoRzgBQjHAGgGKEMwAUI5wBoBjhDADFCGcAKEY4A0AxwhkAihHOAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoZmXoAmBoZz10b8695b1zaOdzSTKXth5v894kl8ytPWB/CGeW2tra2tza2tj4UpJkdXWeYXnJXLcR2B/CmaU2Go2GLgHgJM45A0AxwhkAihHOAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4AUIxwBoBihDMAFCOcAaAY4QwAxQhnAChmZegCWE7j8TiTyWToMna0sbGRJFldXR24ktmtra1lNBoNXQawT4Qzg5hMJrn15v+bZ57/6NClnOQLD5ydJDn+pTsHrmQ2dzx49tAlAPtMODOYZ57/aN7wvAeHLuMkb7zu/CQpWdtONusFFodzzgBQjHAGgGKEMwAUI5wBoBjhDADFCGcAKEY4A0AxwhkAihHOAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4DG4/HGY/HQ5cBHAJeL5bHytAFLLvJZDJ0CcAh4fVieRg5A0AxwhkAihHOAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4AUIxwBoBihDMAFCOcAaAY4QwAxQhnAChGOANAMStDF7DsNjY2cuzYsYxGo6FLmav19fWc80X/G+6Hzzx0Vh5ZX1+6fWgZra+v58iRI0OXwRx4dQSAYoycB7a6upokGY/HA1cyX6PRKMdv/+jQZSyEr3jyYzn36OVLtw8tI0dHloeRMwAUI5wBoBjhDADFCGcAKEY4A0AxwhkAihHOAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4AUIxwBoBihDMAFLMydAHLbm1tbegSgEPC68XyEM4DG41GQ5cAHBJeL5aHw9oAUIxwBoBihDMAFCOcAaAY4QwAxQhnAChGOANAMcIZAIoRzgBQjHAGgGKEMwAUI5wBoBjhDADFCGcAKEY4A0AxwhkAilkZugCW1x0Pnp03Xnf+0GWc5NMPnJ0kJWvbyR0Pnp2vHboIYF8JZwaxtrY2dAmndN7GRpLk3NXVgSuZzdemdn8CuyecGcRoNBq6BICynHMGgGKEMwAUI5wBoBjhDADFCGcAKEY4A0AxwhkAihHOAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4AUMzK0AXAfhqPx5lMJnNrb2NjI0myuro6tzY3ra2tZTQazb1d4OAJZxbKZDLJDR+/IblgTg3eP727u909pwZ79823OWC+hDOL54LksSsfm0tTZ31oemZoXu1tbxdYTJ7hAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4AUIxwBoBihDMAFCOcAaAY4QwAxQhnAChGOANAMcIZAIoRzgMbj8cZj8dDlwFs4XnJ0FaGLmDZTSaToUsAtvG8ZGhGzgBQjHAGgGKEMwAUI5wBoBjhDADFCGcAKEY4A0AxwhkAihHOAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4AUMzK0AUsu42NjRw7diyj0WjoUhbC+vp68tjQVczBg9Nttd8cjPX19Rw5cmToMlhiRs4AUIyR88BWV1eTJOPxeOBKFsNoNMoNf3LD0GUcvPOTyy+73H5zQByRYGhGzgBQjHAGgGKEMwAUI5wBoBjhDADFCGcAKEY4A0AxwhkAihHOAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4AUMzK0AUsu7W1taFLALbxvGRownlgo9Fo6BKAbTwvGZrD2gBQjHAGgGKEMwAUI5wBoBjhDADFCGcAKEY4A0AxwhkAihHOAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDHCGQCKWRm6ANh39yVnfWhO/3feN72bW3tb271svk0C8yOcWShra2tzbW+j20iSrF62Otd2c9n8txWYH+HMQhmNRkOXALBnzjkDQDHCGQCKEc4AUIxwBoBihDMAFCOcAaAY4QwAxQhnAChGOANAMcIZAIoRzgBQjHAGgGKEMwAUI5wBoBjhDADFCGcAKGZl6AJgv4zH40wmk6HLOMnGxkaSZHV1deBKZrO2tpbRaDR0GbDUhDMLYzKZ5BM33phLhi5kmwf6+/vuuWfQOmZx19AFAEmEMwvmkiRXpw1dxgneni5Jvbp2slkrMCznnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4AUIxwBoBihDMAFCOcAaAY4QwAxQhnAChGOANAMcIZAIoRzgBQjHAGgGKEMwAUI5wHNh6PMx6Phy4DWFBeYw6nlaELWHaTyWToEoAF5jXmcDJyBoBihDMAFCOcAaAY4QwAxQhnAChGOANAMcIZAIoRzgBQjHAGgGKEMwAUI5wBoBjhDADFCGcAKEY4A0AxwhkAihHOAFCMcAaAYlaGLmDZbWxs5NixYxmNRkOXcuitr6/7b3OPPpfk7vV1++MCWV9fz5EjR4Yug13yWgYAxRg5D2x1dTVJMh6PB67k8BuNRrnvxhuHLuNQe1qSCy6/3P64QBwFOZyMnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4AUIxwBoBihDMAFCOcAaAY4QwAxQhnAChGOANAMcIZAIoRzgBQjHAGgGKEMwAUI5wBoJiVoQtYdmtra0OXACwwrzGHk3Ae2Gg0GroEYIF5jTmcHNYGgGKEMwAUI5wBoBjhDADFCGcAKEY4A0AxwhkAihHOAFCMcAaAYoQzABQjnAGgGOEMAMUIZwAoRjgDQDHCGQCKEc4AUMzK0AXAfrorydvTDV3GCe7s76vVtZO7klwwdBGAcGZxrK2tDV3Cjh7c2EiSXLC6OnAlp3dB6vYjLBPhzMIYjUZDlwCwL5xzBoBihDMAFCOcAaAY4QwAxQhnAChGOANAMcIZAIoRzgBQTOu6g/tIwdbaA0k+eWANLI6Lk9wzdBGHgH6anb6ajX6anb6azdd1XfeUva7koD8h7JNd1z3vgNs49Fpr1+mn09NPs9NXs9FPs9NXs2mtXbcf63FYGwCKEc4AUMxBh/NbD3j9i0I/zUY/zU5fzUY/zU5fzWZf+ulALwgDAHbPYW0AKEY4A0Axewrn1tpFrbUPttbW+/sLTzHfd7TWPtlam7TWXrfl8Wtaa3/SWruxv714L/VUc6rt3jK9tdbG/fSbWmt/ZdZlF80e++r21trH+n1oX97GUNUM/fSc1toftNYebq29ZjfLLpo99pV96vHpL++fcze11n6/tfYXZ112keyxn3a/P3Vdd8a3JP82yev6n1+X5C07zHN2kk8l+eok5yT5wyRX9NOuSfKavdRQ9fZE271lnhcneX+SluSFST4y67KLdNtLX/XTbk9y8dDbUaSfnpHk+UnetPW5ZZ+ava/sUyf1019NcmH/84uW8XVqL/10pvvTXg9rf2eSn+9//vkk37XDPC9IMum67o+7rnskyX/pl1t0s2z3dyb5hW7qw0kuaK1dOuOyi2QvfbVMTttPXdd9tuu6jyb54m6XXTB76atlMks//X7XdZ/vf/1wktVZl10ge+mnM7LXcP6Kruvu7Au7M9P/RLe7LMn/2/L7Rv/Yph/rDwO841SHxQ+p0233E80zy7KLZC99lSRdkg+01q5vrf3wgVU5vL3sF/ap3W2vfWpnV2d6BOtMlj3M9tJPyRnsT6f9+M7W2m8nuWSHSa+fpYFMD0Nut/n+rf+U5Cf6338iyU8l+Uczrre6J9ru080zy7KLZC99lSTf3HXdn7bWnpHkg621T3Rd97/2tcIa9rJf2Kd2t732qe0ztvatmYbOt+x22QWwl35KzmB/Om04d133baestrXPtNYu7bruzv4Q42d3mG0jyVdt+X01yZ/26/7MlnVdm+S9p6vnEDnlds8wzzkzLLtI9tJX6bpu8/6zrbVfy/QQ1CK+kM7STwex7GG0p+21T52otfYNSd6W5EVd131uN8suiL300xntT3s9rP2bSX6w//kHk/zGDvN8NMnlrbVnt9bOSfJ9/XLZds7wpUlu3mM9lZxyu7f4zSQ/0F+J/MIk9/enB2ZZdpGccV+11s5rrT0lSVpr5yX59izWfrTVXvYL+9SM22ufOrGfWmvPTPKeJK/ouu7W3Sy7QM64n854f9rjFWxPS/I/kqz39xf1j39lkvdtme/FSW7N9Gq31295/F1JPpbkpn5DLx3qaryDuO203UlemeSV/c8tyc/00z+W5Hmn67NFvZ1pX2V69eQf9rePL3pfzdBPl2T6X/6fJbmv//mp9qnZ+8o+dVI/vS3J55Pc2N+ue6JlF/V2pv10pvuTj+8EgGJ8QhgAFCOcAaAY4QwAxQhnAChGOANAMcIZ+LLW2lWtta61duU8lwVOJJxhybTWrmzTr2u9YA5t/aW+raMH3RYsEu9zhiXTWrsmyb9K8uyu627fNu3sJE9K8kjXdY/tcr0nLdtauyrJzyX51q7rPrTX2mFZnPaztYHZtNZakvO6rntw6FrOVNd1jyZ5dN7LAidyWBu2aK09pbX2xtbaR1pr97TWHm6tTVpr/6a19uQt813Zn1+9qrX2qtbaLUmOJ3lNP32ltfbjrbVbWmvHW2ufa639Wmvt67e1d7RfzzWttZe11m5srR3r2/yH/TzPbK39Smvt3tbaA621X9z8rN4t63lOa+1nW2sf7+d5qE2/nu4fb5vvnZmOmpPktr7trh9Nn/K8cWvtnNbaa/v6Hmqt3d9au6619mNb5jlh2X6dP9dP/p0tbb2ztfbd/c8/dIq/w8f7Ptjp24Bg4Rk5w4kuS/JDSX41yS8l+VKSv5HktUn+cpK/tW3+f5rpZ8xfm+SuPP6dr+9O8rIkH8z0q1EvSfKqJH/QWvtrXdfdsG09L8n0c3p/Nsm9mX7l3Dtaa48keXOS/5nkXyZ5fqZfq3q8r3PTlUn+eqbf7HZbkvOSfG+St7bWLu667if7+f5zpp8f/dIk/yzJPf3jN52qQ/oP+v/vfRsfSPKLfftfn+S7k/z0KRZ9T5JLk/xwvw1/1D/+qUy/SOCufjvftq29Fya5ItPPIHbejeU09IeJu7lVumX6dZ1P2uHxze8df0H/+5X97/cmeca2ef9mP+2/pr+uo3/8GzIN+9/b8tjRft4vJHnWlsefnmkAPpbk1dvW/54kjyQ5f8tj5+1Q81lJPpTk/q3blOSavs2jOyxzVT/tyi2PvbZ/7M07tXGaZU96bMu0N/fTrtj2+LV9P33l0PuDm9tQN4e1YYuu6x7puu6LyZcPTV/YWrs4yW/3s3zjtkV+oeu67d9j/tL+/k1d13155Nd13U2Zjmy/pbX29G3L/HrXdZ/eMu/dST6ZaTj/zLZ5fy/TC6+Obpn/C5s/t9bOba09LclFmY50n5rkOU+44U/s5Zl+286/3j6h2+VFY9tcm2k4X735QP+Ven8vyfu7/jtwYRkJZ9imtfajrbWbkjyc6cj47kxHoEly4bbZb83Jnp1pqP7RDtNu3jLPVn+8w7yfT3Jn13UP7/B4Mj2cvlnz+a21f99auyPJsUwPV9+d5E2nqHs3Lk/yia7rju9hHSfpuu62TP/peUVr7Un9wy9L8pRsO9QNy0Y4wxattVdnOlK9M8k/SfK3Mz1MfVU/y/bnzEM7reYMmj7VVc5PdPXz1nZ+Kcmrk7wv05HuizKt+z/00/f6XD+oc79vzfQQ/t/tf78603PRv3VA7cGh4IIwONErktye5EVbD9m21r5jF+v4VKYXjj03J19odUV/f9seajxB/2EiL0nyrq7rXrlt2rftsMhug/bWJM9trf25HUbxp3O6tn4jyWeTXN1auznJNyd5S9d1X9plO7BQjJzhRI9mGihfHpW21laSvG4X6/j1/v5fbH0rUGvtL2Q6Qvzf/Tnl/bI5uj5hxN5auzQnXtG9afN92BfNuP53Z3pY/A3bJ8zwVqcnbKs/v//OTP+Z2XyL19tnrAsWlpEznOhXkvxkkve31t6T6cVU/yDJF2ddQdd1H2yt/bck35fkwtbae/P4W6mOJxntZ8Fd1z3QWvtAku9vrR3L9G1Kz8r0sPxt2XJuuvfh/v4trbV39zXd3HXdzdnZf0zyd5K8obX2/EwvMjue5M8n+bokO43ON3000/Pvr2+tXZjpVem3dV33kS3zXJvknyf5+0l+t+u69Rk2GxaakTOc6N9l+n7ir840lF6VaRj9wC7X8/JMR9vPSvJTSX40ye8m+abu5Pc474fvT/KOTEP0p5N8V5LX5+QrvdN13f9J8uNJvibTYPzlJN9zqhV3XfdIkm/PdOT8VZm+BerNSV6Q6du6TqnrujsyfV/2kUzf7/3LSX5k2zyTJL/T/2rUDPHZ2kABrbX3JfmmTN/bfGzoemBoRs7AoFpra5mec36XYIYpI2dgEK21b8z0ivZRf//cbtu3ZMGyMnIGhvIjmZ4nf2qSlwtmeJyRMwAUY+QMAMUIZwAoRjgDQDHCGQCKEc4AUMz/B1RvPaP3wmo8AAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 576x504 with 1 Axes>"
       ]
@@ -659,22 +656,23 @@
    ],
    "source": [
     "fig, ax = plt.subplots(figsize=(8, 7))\n",
-    "ordered = annotations_complete[['annotation_category', 'aromaticity']].groupby('annotation_category').apply(np.median).sort_values(ascending=False).index\n",
-    "counts = annotations_complete.groupby(['annotation_category']).apply(len)\n",
-    "sns.boxplot(data=annotations_complete, y='annotation_category', x='aromaticity', ax=ax, fliersize=0)\n",
-    "ax.set_xlim(-0.05, 0.3);\n",
-    "ax.set_title('Distribution of aromaticity across annotation categories');"
+    "sns.boxplot(data=annotations_complete, y='annotation_category', x='aromaticity', ax=ax, fliersize=0, order=annotations_complete['annotation_category'].value_counts().index)\n",
+    "ax.set_xlim(-0.05, 0.25);\n",
+    "plt.xlabel('aromaticity', fontsize=18)\n",
+    "ax.set(ylabel=None);\n",
+    "plt.tick_params(left = False, labelleft = False)\n",
+    "plt.savefig('./figures/analysis-annotation_cat-aromaticity.svg')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 36,
    "id": "3f6f8184-22cc-41d3-850f-a41d1acfea8a",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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JnWRIkSRJnWRIkSRJnWRIkSRJnWRIkSRJnWRIkSRJnWRIkSRJnWRIkSRJnWRIkSRJnWRIkSRJnWRIkSRJnWRIkSRJndT5kJLkkCQbD7sOSZI0uzofUoBDgElDSpIFs1uKJEmaLZ0KKUk2SfK1JD9K8uMkbwe2Ar6d5NvtMjcleWeSM4Bdp1jPr5K8I8k5SS5I8rB2+uZJvpTk/CQ/SPKodvqfJDmv/Ts3yaJ2+t8n+WG7/Dt61v+WJBcl+Z8kxyd5www3jSRJ887CYRcwwbOAy6tqb4AkmwEHAHtU1dXtMpsAP66qt61mXVdX1WOT/A3wBuCVwDuAc6tq3yRPAz4J7NTOf11VnZ5kU+C2JM8AtgceDwT4SpKnAjcDLwYeQ9N+5wBnD2b3h2/58uXceuutjI6ODrsUTcPSpUvJ72rYZXRWbruRpUtXeH9eRyxdupSNNtpo2GWoQzrVkwJcAOyZ5H1JnlJVN0yyzErgC9NY14nt/7OB7drLTwY+BVBV/wfctw1CpwNHJBkFFlfVHcAz2r9zaYLIw2hCy1OAL1bVLVV1I/CVqQpI8uokZyU566qrrppGyZIkaVynelKq6udJdgb2At6T5FuTLHZbVa2cxupub/+v5O79zOSbrfcm+Vq73R8k2bNd9j1V9f96F05yCDCtt65VdTRwNMAuu+yyTrzdXbJkCQBjY2NDrkTTMTo6ytm/+M2wy+is2vDebP+QB3h/XkfY46WJOtWTkmQr4JaqOg44HHgssAJYNKBNfAd4abut3WlOCd2Y5CFVdUFVvQ84i6bX5GTgFe3pH5JsneR+7Tqen2SjduzKcwdUmyRJ6tGpnhTgj4H3J7kT+D3wWprBsd9IckVV7bGW6z8MOCbJ+cAtwMvb6Yck2YOm1+VC4BtVdXuShwPfTwJwE7BfVZ2T5LPAecAlwGlrWZMkSZpEp0JKVZ1M04PR6yzg33uW2XQa69mu5/JZwO7t5WuBfSZZ/qAp1nMkcOQk098NvBsgyWGrq0eSJPWvU6d7JEmSxnWqJ6VfSb4IPGjC5De1PTKzoqoOm61tSZI0n6zTIaWqnj/sGiRJ0szwdI8kSeokQ4okSeokQ4okSeokQ4okSeokQ4okSeokQ4okSeokQ4okSeokQ4okSeokQ4okSeokQ4okSeokQ4okSeqkdfq3ezR4IyMjwy5B0jzl848mMqToHkZHR4ddgqR5yucfTeTpHkmS1EmGFEmS1EmGFEmS1EmGFEmS1EmGFEmS1EmGFEmS1EmGFEmS1EmGFEmS1EmGFEmS1EmGFEmS1EmGFEmS1EmGFEmS1EmGFEmS1EmGFEmS1EmGFEmS1EmGFEmS1EkLh12ApLWz3i3XsuGFJw27DADWu+UagA7Vcy3wgGGXIWkNGVKkddjIyMiwS7iH5cvvAGDJkq4Egwd0ro0kTZ8hRVqHjY6ODrsESZoxjkmRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdtHDYBUhae2NjYyxbtmwo216+fDkAS5YsGcr2e42MjDA6OjrsMiQNiCFFmgOWLVvGz398DttuunLWt33zigUA3HbHFbO+7V6X3rRgqNuXNHiGFGmO2HbTlbx1l5tmfbvvOmtTgKFse7I6JM0djkmRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEiRJEmdZEjRWhkbG2NsbGzYZUjqCJ8TNEgLh12A1m3Lli0bdgmSOsTnBA2SPSmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmT5lxISXJIko2HXYckSVo7cy6kAIcAk4aUJAtmtxRJkrSmFk53wSSHA8dU1U9msJ6+JNkE+BywBFgAfB7YCvh2kqurao8kNwFHAM8EDgW+O8l63gs8D7gD+FZVvSHJlsBRwLbtYodU1elJ7gscD2wJnAk8C9i5qq6ewV3trOXLl3PrrbcyOjo67FLmtaVLl7L+7+fie47p++0t6/G7pUu9Lw7Z0qVL2WijjYZdhuaIaYcU4GfA0UkWAscAx1fVDTNT1rQ9C7i8qvYGSLIZcACwR09o2AT4cVW9bbIVJNkceD7wsKqqJIvbWUcCH6iq7ybZFjgZeDjwduC7VfXOJHsDr56quCSvHp+/7bbbTrWYJEmaxLRDSlV9FPhokh1ogsD5SU4HPlJV356pAlfjAuDwJO8DTqqq05JMXGYl8IVVrONG4DaaffsacFI7fU9gx5713TvJIuCpwJ8BVNXXklw31Yqr6mjgaIBddtml+tmxdcWSJUsAGBsbG3Il89vo6Ci3/eqHwy5jqO6/8Z1suN323heHzJ4sDVJf/cPtmI6HtX9XAz8CXp/kMzNQ22pV1c+BnWnCynuSTNZbcltVrVzFOu4AHk8TZPYFvtnOWg/Ytap2av+2rqoV4zcb1D5IkqTJTTukJDmC5pTPXsC/VNXOVfW+qnou8JiZKnA1NW0F3FJVxwGHA48FVgCL+ljHpsBmVfV1mkG3O7WzvgX8bc9y49O/A7y0nfZs4D5rsw+SJGly0zrdk+acx3XAo6vqlkkWefxAq5q+Pwben+RO4PfAa4FdgW8kuaKq9pjGOhYBX06yIRDg79rpo8CHkpxP007fAV4DvAM4Psk5wKnApYPcIUmS1JhWSGkHlO5bVf88xfyhDKCtqpNpBrT2Ogv4955lNl3NOq5gkpDVDrx90STTrwGeMX49yfP7q1qSJE1HP2NSfpDkcTNWiSRJUo9+PoK8B/DXSS4BbqY5NVJV9agZqWwGJPki8KAJk9/U9siskarabq2KkiRJk+onpDx7xqqYJVXlqRlJktYR0z7dU1WXAIuB57Z/i9tpkiRJA9fPR5APBj4N3K/9Oy7JQTNVmCRJmt/6Od1zIPCEqroZoP2W1+/T80kaSZKkQenn0z2h+Yr5cSvbaZIkSQPXT0/KMcAZ7SdkoPkK+Y8NvCJJkiT6+4HBI5KcAjyZpgflgKo6d6YKkyRJ89u0Q0qSzYFftX/j0+5VVb8ffFmSJGm+62dMyjnAVcDPgaXt5YuTnJNk55koTpIkzV/9hJRvAntV1RZVdV+aL3f7HPA3wIdnojhJkjR/9RNSdun9+viq+hbw1Kr6AbDBwCuTJEnzWj+f7rk2yZuAz7TXXwRcl2QBcOfAK9M6YWRkZNglSOoQnxM0SP2ElL8E3g58qb3+3XbaAuCFgy1L64rR0dFhlyCpQ3xO0CD18xHkq4GDkmxaVTdNmL1ssGVJkqT5rp/f7tktyYXAhe31RydxwKwkSZoR/Qyc/QDwTOAagKr6EfDUmShKkiSpn5BCVV02YdLKSReUJElaS/0MnL0syW5AJVkfGAV+OjNlSZKk+a6fnpTXAK8DtgaWAzvRfJGbJEnSwPXTk7JDVb20d0KSJwGnD7YkSZKk/npS/n2a0yRJktbaantSkuwK7AZsmeT1PbPuTfNFbpIkSQM3ndM96wObtssu6pl+I/CCmShKkiRptSGlqk4FTk1ybFVdMgs1SZIk9TVw9pYk7wceAWw4PrGqnjbwqiRJ0rzXz8DZTwM/Ax4EvAP4FfDDGahJkiSpr5By36r6GPD7qjq1ql4BPHGG6pIkSfNcP6d7ft/+vyLJ3sDlwJLBlyRJktRfSHlXks2AQ2m+H+XewN/NSFWSJGnem3ZIqaqT2os3AHvMTDmS1tSlNy3gXWdtOuvbvWRF83VJw9h2r0tvWsBDh1qBpEGbdkhJ8gng4Kq6vr1+H+Df2rEpkoZoZGRkaNveZPlyADZcMtyzvw9luO0gafD6Od3zqPGAAlBV1yV5zOBLktSv0dHRYZcgSQPXz6d71mt7TwBIsjn9hRxJkqRp6ydk/BvwvSQnAAW8EHj3jFQlSZLmvX4Gzn4yyVnA04AAf1ZVF47PT3KfqrpuBmqUJEnzUF+na9pQcuEUs/8XeOxaVyRJkkR/Y1JWJwNclyRJmucGGVJqgOuSJEnz3CBDiiRJ0sB4ukeSJHVSXwNnkywA7t97u6q6tL349AHWJUmS5rl+vhb/IODtwG+BO9vJBTwKoKquHXh1kiRp3uqnJ+VgYIequmamipEkSRrXz5iUy2h+AVmSJGnG9dOT8kvglCRfA24fn1hVRwy8KkmSNO/1E1Iubf/Wb/8kSZJmTD+/3fMOgCSLmqt104xVJUmS5r1pj0lJ8sgk5wI/Bn6S5Owkj5i50iRJ0nzWz+meo4HXV9W3AZLsDnwE2G3wZUkapLGxMZYtWzbsMtbY8uXLAViyZMmQKxmckZERRkdHh12G1Gn9hJRNxgMKQFWdkmSTGahJ0oAtW7aMc39yLiwediVrqP1c4VW5arh1DMr1wy5AWjf09emeJP8EfKq9vh9w8eBLkjQjFsOdu9+52sW6aL1TmjPT62r9E43vj6RV6+eR8gpgS+BE4Ivt5QNmoihJkqR+Pt1zHeAJVEmSNCtWG1KSfLCqDknyVZrf6rmHqnrejFQmSZLmten0pIyPQTl8JguRJEnqtdqQUlVntxd3qqoje+clORg4dSYKkyRJ81s/A2dfPsm0/QdUhyRJ0j1MZ0zKS4C/BB6U5Cs9sxYB18xUYZIkaX6bzpiU7wFXAFsA/9YzfQVw/kwUJUmSNJ0xKZcAlwC7znw5kiRJjX5+YPCJSX6Y5KYkv0uyMsmNM1mcJEmav/oZOPsfwEuApcBGwCuBf5+JoiRJkvr57R6qalmSBVW1EjgmyfdmqC5JkjTP9RNSbkmyPnBekn+lGUzrryBLkqQZ0c/pnpe1y/8tcDOwDfBnM1GUJElSPyFl36q6rapurKp3VNXrgefMVGGSJGl+8xtnJUlSJ63NN87eG79xdkaMjY0BMDo6OuRKJEnrkrn2+uE3znbQsmXLhl2CJGkdNNdeP/r6xtkk9wce1876aVXdMZPFSZKk+aufb5z9C+BM4C+AFwJnJHnBTBUmSZLmt36+J+WtwOOq6kqAJFsC/wOcMBOFSZKk+a2fT/esNx5QWtf0eXtJkqRp66cn5ZtJTgaOb6+/CPj64EuSJEnqI6RU1d8n+XPgSUCAo6vqizNWmSRJmtf6/YHBLwBfmKFaJEmS7tLPp3v+LMnSJDckuTHJiiQ3zmRxkiRp/uqnJ+VfgedW1U9nqhhJkqRx/Xw657cGFEmSNFv66Uk5K8lngS8Bt49PrKoTB12UJElSPyHl3sAtwDN6phVgSJEkSQPXz0eQD5jJQiRJknpNO6S0X4P/KmC73ttV1SsGX5YkSZrv+jnd82XgNJrf61k5M+VIkiQ1+gkpG1fVm2askikk2R34XVV9b7a3LUmShqefjyCflGSvGatkarsDu002I0lf35grSZLWHf28yB8M/GOS24Hf0/x+T1XVvae6QZLtgG8A36UJGr8G9gF2AI4CNgZ+Abyiqq5LMgq8BrgDuBB4c3t9ZZL9gIOAA4FrgccA5wCHTrLdw4BtgQe3/z9YVWPtvNcD4+NoPlpVH0yyCfA5YAmwAPjnqvpskp2BI4BNgauB/avqinb6x2k+7fRd4NlV9cjpN+WqLV++nFtvvZXR0dFBrVLz3NKlS+HOYVehu9zUHBMf4xq0pUuXstFGGw27jIHp59M9i5JsDmwPbNjHNrYHXlJVr0ryOeDPgTcCB1XVqUneCbwdOIQmlDyoqm5Psriqrk9yFHBTVR0OkORA4KHAnlW1qrExDwP2ABYBFyX5T+BRwAHAE2hC1hlJTqUJM5dX1d7tNjZLci/g34F9quqqJC8C3k0TcI7pqf/9UxWQ5NXAqwG23XbbPppMkiT18+meV9L0piwBzgOeCHwPePpqbnpxVZ3XXj4beAiwuKpObad9Avh8e/l84NNJvkTzpXFT+fxqAgrA16rqduD2JFcC9weeDHyxqm5u9+lE4CnAN4HDk7wPOKmqTkvySOCRwH8ngaaH5Yokm02o/1PAsycroKqOBo4G2GWXXWo19d5lyZIlAIyNjU33JtIqjY6Ocu6vzx12GRq3KWy/9fY+xjVwc613rp8xKQcDjwMuqao9aE63XD2N293ec3klsHgVy+4NfAjYGTh7FWNObl6D7S6k6T35A1X183abFwDvSfK2dtmfVNVO7d8fV9Uz2unTDhySJGnN9BNSbquq2wCSbFBVP6MZW9KvG4Drkjylvf4y4NQk6wHbVNW3aU4HLaYZC7KC5pTNIHwH2DfJxu04lOcDpyXZCrilqo4DDgceC1wEbJlkV4Ak90ryiKq6HrghyZPbdb50QLVJkqQe/QycXZ5kMc1pmP9Och1w+Rpu9+XAUUk2Bn5JM05kAXBcezolwAfaMSlfBU5Isg/NwNk1VlXnJDkWOLOd9NGqOjfJM4H3J7mTZlDwa6vqd0leAIy1NS0EPgj8pK3340luAU5em5okSdLk+hk4+/z24mFJvg1sRjOWY1W3+RXNuI7x64f3zH7iJDd58sQJ7amYR/VMOm0atR424XpvDUfQfGKnd/7JTBI22rE0T51k+tnAo+GuTzC9YHU1SZKk/qzR94z0DBqVJEmaEev0l6ElOYBmQG+v06vqdbNVw8TeIkmSNBjrdEipqmNovrNEkiTNMf18ukeSJGnWGFIkSVInGVIkSVInGVIkSVInGVIkSVInGVIkSVInGVIkSVInGVIkSVInGVIkSVInGVIkSVInrdNfiz9XjYyMDLsESdI6aK69fhhSOmh0dHTYJUiS1kFz7fXD0z2SJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTDCmSJKmTFg67AEmz5HpY75R19H3J9c2/dbb+ia4Hth52EVL3GVKkeWBkZGTYJayV5bUcgCVbLxlyJQOy9bp/TKTZYEiR5oHR0dFhlyBJfZsjfaeSJGmuMaRIkqROMqRIkqROMqRIkqROMqRIkqROMqRIkqROMqRIkqROMqRIkqROMqRIkqROMqRIkqROMqRIkqROMqRIkqROMqRIkqROMqRIkqROMqRIkqROMqRIkqROWjjsAiStnbGxMZYtWzbsMtbI8uXLAViyZMmQK1m9kZERRkdHh12GNK8YUqR13LJly/jZeefxgGEXsgZWtP+vv/rqodaxOr8ZdgHSPGVIkeaABwAHkmGX0bePUUD3ax+vU9LsckyKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEPKOm5sbIyxsbFhlyFJ84rPvbNj4bAL0NpZtmzZsEuQpHnH597ZYU+KJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqJEOKJEnqpDkXUpLsnmS3YdchSZLWzpwLKcDuwKQhJcnC2S1FkiStqU69aCfZDvgG8F2aoPFrYB9gB+AoYGPgF8Arquq6JKPAa4A7gAuBN7fXVybZDzgIOBC4FngMcA5w6CTb/RPgyPZqAU+tqhVJ/h54IbAB8MWqenu7/FuAvwIuA64Czq6qwwfaGNO0fPlybr31VkZHR4exeXXA0qVL5+S7jS65Brhq6VIfZ7rL0qVL2WijjYZdxpzXqZDS2h54SVW9KsnngD8H3ggcVFWnJnkn8HbgEJpQ8qCquj3J4qq6PslRwE3joSHJgcBDgT2rauUU23wD8LqqOj3JpsBtSZ7R1vJ4IMBXkjwVuBl4MU3oWUgTfM6ebKVJXg28GmDbbbddu1aRJGme6WJIubiqzmsvnw08BFhcVae20z4BfL69fD7w6SRfAr60inV+fhUBBeB04IgknwZOrKrlbUh5BnBuu8ymNKFlEU2vyi0ASb4y1Uqr6mjgaIBddtmlVrH9NbZkyRIAxsbGZmL1WgeMjo5y/XnnDbuMOe2+wOLtt/dxprvYqzY7uthLfHvP5ZXA4lUsuzfwIWBn4OxVjDm5eVUbrKr3Aq8ENgJ+kORhNL0n76mqndq/kar62PhNVr8bkiRpbXQxpEx0A3Bdkqe0118GnJpkPWCbqvo2zemgxTS9HStoejumLclDquqCqnofcBbwMOBk4BXt6R+SbJ3kfsB3gOcn2SjJIuC5a72HkiTpD3TxdM9kXg4clWRj4JfAAcAC4Lgkm9H0enygHZPyVeCEJPvQDJydjkOS7EHTc3Mh8I12nMvDge8nAbgJ2K+qzknyWeA84BLgtIHtpSRJukunQkpV/Qp4ZM/13k/MPHGSmzx5knX8HHhUz6TVhoiqmjTMVNWR3P2pn97p7wbeDZDksNWtX5Ik9W9dON0jSZLmoU71pMy0JAcAB0+YfHpVvW5N11lVh61VUZIkaVLzKqRU1THAMcOuQ5IkrZ6neyRJUicZUiRJUicZUiRJUicZUiRJUicZUiRJUicZUiRJUicZUiRJUicZUiRJUicZUiRJUicZUiRJUifNq6/Fn4tGRkaGXYIkzTs+984OQ8o6bnR0dNglSNK843Pv7PB0jyRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6iRDiiRJ6qSFwy5A0tr7DfAxathl9O2K9n/Xa/8NsHjYRUjzkCFFWseNjIwMu4Q1dtPy5QAsXrJkyJWs2mLW7XaW1lWGFGkdNzo6OuwSJGlGOCZFkiR1kiFFkiR1kiFFkiR1kiFFkiR1kiFFkiR1kiFFkiR1kiFFkiR1kiFFkiR1Uqq6/XXUc0WSFcBFw65jjtsCuHrYRcxxtvHssJ1nnm0883aoqkVrswK/cXb2XFRVuwy7iLksyVm28cyyjWeH7TzzbOOZl+SstV2Hp3skSVInGVIkSVInGVJmz9HDLmAesI1nnm08O2znmWcbz7y1bmMHzkqSpE6yJ0WSJHWSIUWSJHWSIWWGJXlWkouSLEvy5mHXM1ck2SbJt5P8NMlPkhzcTt88yX8nWdr+v8+wa12XJVmQ5NwkJ7XXbd8BS7I4yQlJftben3e1nQcryd+1zxM/TnJ8kg1t47WX5ONJrkzy455pU7Zrkn9oXwsvSvLM6WzDkDKDkiwAPgQ8G9gReEmSHYdb1ZxxB3BoVT0ceCLwurZt3wz8b1VtD/xve11r7mDgpz3Xbd/BOxL4ZlU9DHg0TXvbzgOSZGtgFNilqh4JLABejG08CMcCz5owbdJ2bZ+fXww8or3Nh9vXyFUypMysxwPLquqXVfU74DPAPkOuaU6oqiuq6pz28gqaJ/atadr3E+1inwD2HUqBc0CSJcDewEd7Jtu+A5Tk3sBTgY8BVNXvqup6bOdBWwhslGQhsDFwObbxWquq7wDXTpg8VbvuA3ymqm6vqouBZTSvkatkSJlZWwOX9Vxf3k7TACXZDngMcAZw/6q6ApogA9xviKWt6z4IvBG4s2ea7TtYDwauAo5pT6t9NMkm2M4DU1W/Bg4HLgWuAG6oqm9hG8+Uqdp1jV4PDSkzK5NM8zPfA5RkU+ALwCFVdeOw65krkjwHuLKqzh52LXPcQuCxwH9W1WOAm/G0w0C1YyL2AR4EbAVskmS/4VY1L63R66EhZWYtB7bpub6EpptRA5DkXjQB5dNVdWI7+bdJ/qid/0fAlcOqbx33JOB5SX5Fc5ryaUmOw/YdtOXA8qo6o71+Ak1osZ0HZ0/g4qq6qqp+D5wI7IZtPFOmatc1ej00pMysHwLbJ3lQkvVpBg19Zcg1zQlJQnMe/6dVdUTPrK8AL28vvxz48mzXNhdU1T9U1ZKq2o7mfvt/VbUftu9AVdVvgMuS7NBOejpwIbbzIF0KPDHJxu3zxtNpxrDZxjNjqnb9CvDiJBskeRCwPXDm6lbmN87OsCR70ZzbXwB8vKrePdyK5oYkTwZOAy7g7jET/0gzLuVzwLY0T05/UVUTB3apD0l2B95QVc9Jcl9s34FKshPN4OT1gV8CB9C8gbSdByTJO4AX0Xwq8FzglcCm2MZrJcnxwO7AFsBvgbcDX2KKdk3yFuAVNMfhkKr6xmq3YUiRJEld5OkeSZLUSYYUSZLUSYYUSZLUSYYUSZLUSYYUSZLUSYYUSZLUSYYUSWslyffW8Hb7TudXwZMcm+QFk0zfJclYe3n/JP/RXn5Nkr/qmb7VGtb39SSL+1h+u96frJe09hYOuwBJ67aq2m0Nb7ovcBLNN6yuyXbPAs6aZPpRPVf3B37MGvwcRVXttSZ1SRoce1IkrZUkN7X/d09ySpITkvwsyafbryEnyXuTXJjk/CSHJ9kNeB7w/iTnJXlIklcl+WGSHyX5QpKNezazZ5LTkvy8/fHD8e2dNEk9hyV5Q9v7sgvw6XYbeyf5Ys9yf5rkxIm375n/qyRbtD0kP03ykSQ/SfKtJBu1y+zc1vt94HU9t12Q5P3t/pyf5K/b6a9P8vH28h8n+fGE/ZTUw5AiaZAeAxwC7Ag8GHhSks2B5wOPqKpHAe+qqu/R/JbH31fVTlX1C+DEqnpcVT2a5rdVDuxZ73bAnwB7A0cl2XB1hVTVCTQ9LS+tqp2ArwMPT7Jlu8gBwDHT3K/tgQ9V1SOA64E/b6cfA4xW1a4Tlj8QuKGqHgc8DnhV+3slHwRGkjy/ve1fV9Ut06xBmncMKZIG6cyqWl5VdwLn0YSLG4HbgI8m+TNgqhflR7a9JRcALwUe0TPvc1V1Z1Utpfl9m4f1W1g1vwHyKWC/dqzJrsBqfzukdXFVnddePhvYLslmwOKqOrWd/qme5Z8B/FWS82h+T+q+wPZtu+zfLntqVZ3e735I84ljUiQN0u09l1cCC6vqjiSPp/n12RcDfws8bZLbHgvsW1U/SrI/zQ+XjZv4I2Nr+qNjxwBfpQlNn6+qO6Z5u4n7tRGQVdQR4KCqOnmSedsDNwFrNKBXmk/sSZE0o5JsCmxWVV+nORW0UztrBbCoZ9FFwBVJ7kXTk9LrL5Ksl+QhNKeRLprm5u+xjaq6nGYQ7VtpQtEaq6rrgRvaX+RmQs0nA69t94UkD02ySdv7ciTwVOC+k31qSdLd7EmRNNMWAV9ux5EE+Lt2+meAjyQZBV4A/BPNqZFLgAu4Z4C5CDgVuD/wmqq6rR2TuzrH0oxhuRXYtapuBT4NbFlVa/SpogkOAD6e5BaaYDLuozSnus5pBw9fRfNppg8AH66qnyc5EPh2ku9U1ZUDqEWac9KcppWk+aH9PpVzq+pjw65F0qoZUiTNG0nOBm4G/rSqbl/d8pKGy5AiaV5LcgawwYTJL6uqC4ZRj6S7GVIkSVIn+ekeSZLUSYYUSZLUSYYUSZLUSYYUSZLUSf8frwbAv9H3aiMAAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 576x504 with 1 Axes>"
       ]
@@ -687,22 +685,23 @@
    ],
    "source": [
     "fig, ax = plt.subplots(figsize=(8, 7))\n",
-    "ordered = annotations_complete[['annotation_category', 'instability_index']].groupby('annotation_category').apply(np.median).sort_values(ascending=False).index\n",
-    "counts = annotations_complete.groupby(['annotation_category']).apply(len)\n",
-    "sns.boxplot(data=annotations_complete, y='annotation_category', x='instability_index', ax=ax, fliersize=0)\n",
+    "sns.boxplot(data=annotations_complete, y='annotation_category', x='instability_index', ax=ax, fliersize=0, order=annotations_complete['annotation_category'].value_counts().index)\n",
     "ax.set_xlim(0, 100);\n",
-    "ax.set_title('Distribution of instability index across annotation categories');"
+    "plt.xlabel('instability index', fontsize=18)\n",
+    "ax.set(ylabel=None);\n",
+    "plt.tick_params(left = False, labelleft = False)\n",
+    "plt.savefig('./figures/analysis-annotation_cat-instability_index.svg')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 37,
    "id": "13e6a40c-c4a0-483c-b614-165f78f43047",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 576x504 with 1 Axes>"
       ]
@@ -715,16 +714,17 @@
    ],
    "source": [
     "fig, ax = plt.subplots(figsize=(8, 7))\n",
-    "ordered = annotations_complete[['annotation_category', 'gravy']].groupby('annotation_category').apply(np.median).sort_values(ascending=False).index\n",
-    "counts = annotations_complete.groupby(['annotation_category']).apply(len)\n",
-    "sns.boxplot(data=annotations_complete, y='annotation_category', x='gravy', ax=ax, fliersize=0)\n",
+    "sns.boxplot(data=annotations_complete, y='annotation_category', x='gravy', ax=ax, fliersize=0, order=annotations_complete['annotation_category'].value_counts().index)\n",
     "ax.set_xlim(-2, 2);\n",
-    "ax.set_title('Distribution of gravy score across annotation categories');"
+    "plt.xlabel('gravy', fontsize=18)\n",
+    "ax.set(ylabel=None);\n",
+    "plt.tick_params(left = False, labelleft = False)\n",
+    "plt.savefig('./figures/analysis-annotation_cat-gravy.svg')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 38,
    "id": "d8c4c99a-f91a-43df-8263-9cbaf7c4b92f",
    "metadata": {},
    "outputs": [],
@@ -734,7 +734,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 39,
    "id": "f293d60e-fbee-41cc-929c-a254c7fa9061",
    "metadata": {
     "tags": []
@@ -742,7 +742,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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8VGvt+m2r6tgytY+r6slJPttau3C7C9qoPbMuoNNykvut+nsuE7v7xpX6B5NhsDnDeNonMuwaXG6trXxLfEsE5lo20s9PSvKJ1trV42N/kuTfJXnd1pd9TFnrPThhjekcmTXX9ar6kgxh+YettT+ZQW3HirX6+GlJnlJV35rkxCT3qKrXtdaO+i/YO2UL8/1JzqiqB1bVCUm+N8m5q2cYj4Q9YfzzWUne3Vq7vrV2VZJPVdVDxseekOQj21X4DnPE/ZxhV+zXVdXdxiB9QobxHw7PuUnOGo8w/LoMu7avTMd7w2GZ2s/junt2ko+21n5ztiXueFP7uLX2c621udbavgzr8d/shLBMdsgWZmvt1qp6TpK/yHC04Ctbax+uqh8dH395koclOaeqbssQiM9c1cRPJPnD8YPmnzNuIXFXG+nn1tr5VfWWJB/IsCv8ohxDP4m1WarqDUken+TUqlpO8sIkX5Lc0b9/luHowqUkN2dcV9d6b7Z9AXaII+3nJI9N8v1JPjQOOyTJ81trf7Ztxe8QG+jjHctP4wFAh52ySxYAZkpgAkAHgQkAHQQmAHQQmADQQWDuMuN5fH9aVVdXVauqV4/T7/j3Fr/+i8bX2rfetEO0cVlVnTcx7byqumxi2qurymHgwKbYEedhsqleneQRSX4xyVUZroCxa1TVdyT5mtbai2ZcCrDD2MLcRarqS5M8LslrW2u/3lp7XWvtH7a5jBcn2Zvkkxto4yFJ/kPHfD88vtZq35HhBGuAwyIwd5f7ZPhB5PUuybOlWmu3ttZuaRv4xYzW2ufHS1wdar4vttZuOdLX2emq6u6zrmGr7YZl5OghMHeJcXxyZavuheOYYauqxx/ieU+sqndW1XVVdct45fQfnZjnjVV122RbVfWkqrq9qs5ZNW298cqTarhC+1VVdaCqzq+qJ0yp6aAxzLWWefUY5vicHxj/3VbdnjG+bquqM6a0c9+qurWqzj7E61VV/dTYRzdU1fVVdWlVnT3+oPfqeR9ZVW+uqs9U1eer6lNV9YaqevDEfM+qqg+M/fG58b34+imv3cblfUJV/V1V3Zjk/656/FFV9daqumZ8vUur6udruHbpIVXV91TVuVV1+fj8a8ax8EdMzHf+uEwHtTuuD62qfmqiz36sqi6sqpvHfntXVX3jxHP3jc990VjLhVV1IMnvjI8/tKpeWlUfHtu4eZznh9dYnkeMfXlTVf1LVb2mqk6tNcbyx9f8u1Vtn19VT+vpO44dxjB3j99PcnGS30ry1iQrV2FY8wfSq+rZSV6e5L0ZxjxvSvJNSV5WVQ9urf3MOOuzk/ybJK+rqq9prV1TVaclOSfD70j+eGeN5yS5LclLMlzt/keS/HlVfUtr7a96F3Qdv5jhS+LjMvxe6Ir3ZPhx859I8kNJfm7ieT+Q4fdb1w3MJC9I8j8yBNXLMyzLA5M8JcmXJvliktRweaM/ztCff5Chj07LcMWXr844rlxVL8lwzcD3JXl+hj55dpJ3VdVTp/y+6aOS/Mck/zvJa1Ym1nBViLeOr/MbGfYwPGas9WuS/KdDLFeSPGd83isyjH0/eKzl76vqzNba/nG+1yT5vSTfnORtE22cleF3hl+/atprk/znDFcRetXYT09P8pdV9V2ttckfmP+OJAtJXpahj1cuvfX4DBeKf1uGq+ecNC7XK6rq1NbaL6/qjzOS/G2GdWExyacz/ObpO6YteFW9OMnPJ/nzJP89wzUcvzPJm6vqOa2135v2PI5BrTW3XXJLsi/DNf9eNOWxluTVq/6+b5Jbkrx+yrz/K0MYPHjVtH+b5AsZwuK4JH+Z5PNJvnbiuS8aX2vflGnnJzlh1fS5JDdmuHLE6jYuS3LexLTzklw2Me3Vwyq+/rRVj70nw+WH9kxM/3iSj3T07wcONV+Gy81dneSzSU6f8vhx4/1DMnww/91En3xFkuvGPjh+4v1rSZ440d6JGQLu3VOW67njcx7fsWwnTZn2sPE9fumqafcap71pYt67Z/iCcO6qad85vv6zJ+bdk+SCDMG38nvXK+vuF5M8rLO+48b14nNJvmTV9DeNbT12Yv435uD/B2eO035pSvt/miGw776R/5duO+dmlyxreVqGb/tnj7uq7rjlzlC8Y3dpG643+oIkT87w4fzEJM9rh3eR2N9qq8YmW2vLSf4wyUOr6mEbXqJDe0WGLwrfsjKhqr4hyRk59NZlMnwwnz5tl+kqT0pyapLfaK19evLB1trKFeifmmG8+Vcn+uSKDKH/gCSPnHj6P7aDt8S/KcPY9auSnDLxPq5soR7yAKrW2k3JHbtQ7zE+/+okl2b4srQy37UZ1o+nVNUpq5p4WoYvC69ZNe37ktyQ5E8n6jplbGNfhr5f7e2ttYP2iqzUN9Z4YlV9WYbwfmeSeyR56PjY8Rm2Jt/XWvv7iWZ+Y8qiPz1DYL5myv+DczN8EXjMlOdxDLJLlrWsBNR6u0LvM/H3r2UIzMdl+KD67cN8zWm7h1euXfqgNR7fTG/MUPMzc+f43zMzbDmfs8ZzVnt+hq2Ov62qKzJs3bw9yVtWhd5KAFx0iLYeON5Pu4TXJeP9gzJsia34+JR5V97HV67zWpPv40Gq6pFJ/meGXZ8nTTz8iYm/z8mwa/i7c+cl3s5K8v9y1920D8sQOJ85RG2rl2vaMqaqTs6wp+K7c9eLFq+453h/77H+S6fMM23awzJ8cfnYIWpkFxCYrKXG+7OSXLnGPP888fe+DOd4Jsl8kpMzbEH0mnbkbE2ZtiVaaweq6nVJfmQcg705w5bRua21qzue/w/jQTtPSvKN4+2/JHlBVX39uPW1sjyHOkr4SJb75nXa+ZkMY9jTXLFuIVX3z7DX4PoMoXlpht2rLcMXjJMnnvJnGbY+z8owhnj/JP8+yctba5+fqO3qDH20lksm/p62jMkwLvrkDAH97gzjrbdm2Jp8bu48wHG9fl1r/WsZ9jrctsbzXJd0lxCYrGXlII5rpuzmO8h4VOQbMqxTCxnGOV+WYbdbr4cn+eDEtJUtpMlwPlKHCqpXJPmvGT7sP5dhN2LP7tih8dZuzHBAzx8nSVX9eIaDYJ6ZYQt8ZSvmkRnGedey8oMSX5WDf1zi4eN9T5+svI839byPa/jODKH4lNbau1Y/MO76XB2CacPFrl+f5Cer6kEZDuqp3HV37EptX5nkvWO/HZFx1++TM5xfPHkE9xMnZv9shrB/yJSmHjpl2v4MBzBdPm1XMLuLMUzW8qYMH4S/UFWTJ/+nqv5VDT+EsOLFGcayntNa+50M40FPr6ofOIzXfG5VnbDqNeYybH1cuokfVjeObd9r2oOttQ9mOCr1hzKE3OUZdi8f0jiuNekD4/3K670zyTVJfrqq7juljZUtoHMzhPvP1KpTUsbn/GCGU4QOtVs3Sf4iQ0g8b9oyV9XeOvS5jCtbVnfZOhtP2ThtjeeshONZGY5IvnQc517tnAyfQb+cKaqqd1fnWvXdN8mzVk9rrd2W4WjYR1fVYyfa+ekpbb92vP+lcfxzssYv76yRY4AtTKZqrS1X1Y9lOO3ho1X12gwf0vdO8q8zHN7/8CSXjd/ifzbDEbWvHpt4fobdcL9bVe9pd552sJ49Gcb/3pBhbOtHM/xSz8KmLdhwisxzkry0qt6e4ajL81trq8fhXpFhuZPkF1YdiHMoH62q92Y42veKDAcQPTvDGOgfJUlr7eaqemaG0yguqaqV00runWFX7m8m+T+ttUur6tcy9Ou7q+qNufO0kpOTPH388F9Xa+2mqjorw9jqpVX1yvH1TsmwRfVdGbYgz1unmXdk2BX62qr63QxjkY/NsLvznzLlc6S1dlFVfSjD7tB7ZFgfJud5S1W9KslzqurMDOOb12Q4OvoxGXbrP6hjGW+oqncm+b7x3Mz3Zzgo6kcyjK9+2cRTXpChr/98XJ7lJN+W4T1IVu2FaK29v6pemOQXklxcVW/One/t1459cELYHWZ9mK7b9t1yGKeVrJr+2Azn8H02wwf/FUneleHb+IlJvjzDGOdSJg6vz3Cu3vUZDkw5YZz2oqx9WslXZTgR/aoMp7S8L8k3Tanpshz5aSXHJfn1DB+St42v+4yJeU7KsDv2tiQPOIz+fV6G8bPPZtg6/1SSNyc5c8q8j84QYteM816eYRzuQRPz/XCGLclbxr78yySP633/Vj3+1Ulel+Gcwy9kONDmPRnOK7xXx7J9Q4ZTXG7IcFrL28c2D+r3Vc/56bGu25Lcb522vz/DeZHXj8t5WYbzhL+nZ90dHz81w5ecK8Y2PjT23TMy5dSZDOef/lWGLwLXZtjafeA470untP9tGbbWr1313r4jyY/N+v+12/bdVs5xAkbjruYrk7y/tfakWdfD9qiqr83w5e7nWmu/Mut6OPoYw4SDPT3DaQi/P+tC2BqT4/Lj2PHPjn+udzAWu5gtTBhV1bdnGPt6UYZdlo9oHeOE7DxVdWmSv8mw6/akJN+e4fzhN7bWvneWtXH0EpgwquEC1F+R5MIkz2qtOb/uGFVVv5ohJO+X4aClT2T4VamXtNa+OMvaOHoJTADoYAwTADoITADoIDABoIPABIAOAhMAOvx/7+kUHl9bVkEAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 576x504 with 1 Axes>"
       ]
@@ -755,11 +755,12 @@
    ],
    "source": [
     "fig, ax = plt.subplots(figsize=(8, 7))\n",
-    "ordered = annotations_complete[['annotation_category', 'flexibility_average']].groupby('annotation_category').apply(np.median).sort_values(ascending=False).index\n",
-    "counts = annotations_complete.groupby(['annotation_category']).apply(len)\n",
-    "sns.boxplot(data=annotations_complete, y='annotation_category', x='flexibility_average', ax=ax, fliersize=0)\n",
+    "sns.boxplot(data=annotations_complete, y='annotation_category', x='flexibility_average', ax=ax, fliersize=0, order=annotations_complete['annotation_category'].value_counts().index)\n",
     "ax.set_xlim(0.95, 1.05);\n",
-    "ax.set_title('Distribution of average flexibility score across annotation categories');"
+    "plt.xlabel('flexibility score average', fontsize=18)\n",
+    "ax.set(ylabel=None);\n",
+    "plt.tick_params(left = False, labelleft = False)\n",
+    "plt.savefig('./figures/analysis-annotation_cat-flexibility.svg')"
    ]
   },
   {
@@ -780,17 +781,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
+   "id": "0234d76d-70c8-4e0b-84a4-eadea93280c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "annotations_complete[\"rel. aln length (FS)\"] = annotations_complete[\"\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
    "id": "e3a9107e-3626-48fb-ba1b-0f3ed38c9723",
    "metadata": {},
    "outputs": [],
    "source": [
-    "correlatable = annotations_complete[['MSA size', 'query length', 'rel. aln length (FS)', 'seq. id.', 'bit score', 'score', 'plddt', 'isoelectric_points', 'molecular_weight', 'aromaticity', 'instability_index', 'gravy', 'flexibility_average']].copy()"
+    "correlatable = annotations_complete[['MSA size', 'query length', 'alignment length', 'seq. id.', 'bit score', 'score', 'plddt', 'isoelectric_points', 'molecular_weight', 'aromaticity', 'instability_index', 'gravy', 'flexibility_average']].copy()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 42,
    "id": "3a4e1b32-2660-4eea-a75a-274e13984944",
    "metadata": {},
    "outputs": [],
@@ -800,7 +811,7 @@
     "    'Spongilla query length (AF)',\n",
     "    'rel. ali. length (FS)',\n",
     "    'best match str. state id. (FS)',\n",
-    "    'bit score (FS)',\n",
+    "    '(corrected) bit score (FS)',\n",
     "    'bit score (EggNOG-seq)',\n",
     "    'pLDDT (AF)',\n",
     "    'isoelectric points',\n",
@@ -809,24 +820,15 @@
     "    'instability index',\n",
     "    'gravy',\n",
     "    'flexibility average'\n",
-    "]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "edd62719-43f8-4b7b-a4a8-04b61ff5a81d",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "correlatable['corrected bit score (FS)'] = correlatable['bit score (FS)'] / correlatable['rel. ali. length (FS)']"
+    "]\n",
+    "\n",
+    "correlatable['(corrected) bit score (FS)'] = correlatable['(corrected) bit score (FS)'] / correlatable['rel. ali. length (FS)']\n",
+    "correlatable['rel. ali. length (FS)'] = correlatable['rel. ali. length (FS)'] / correlatable['Spongilla query length (AF)']"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 43,
    "id": "c392c132-b7b2-4b96-9696-f4a5b0c8ad50",
    "metadata": {
     "tags": []
@@ -840,7 +842,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 44,
    "id": "3f68cfe2-6165-4fd3-9506-40a536726c9c",
    "metadata": {},
    "outputs": [
@@ -854,7 +856,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 720x720 with 4 Axes>"
       ]
@@ -866,89 +868,546 @@
     }
    ],
    "source": [
-    "plt = sns.clustermap(cor, cmap='RdYlBu_r', square=True, \n",
+    "matrix = sns.clustermap(cor, cmap='RdYlBu_r', square=True, \n",
     "              vmin=-1, vmax=1, figsize=(10,10))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
-   "id": "7a3fa899-9ff2-40c2-abcf-1caa537007c5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x720 with 4 Axes>"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "plt.ax_row_dendrogram.set_visible(False)\n",
-    "plt.ax_col_dendrogram.set_visible(False)\n",
-    "plt.fig\n",
-    "#plt.savefig('./figures/analysis-sequence_structure_properties_correlation.svg')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "89df41b6-e0b7-4742-b211-0e79b59cd504",
-   "metadata": {},
-   "source": [
-    "Now the same for all proteins above the bit score cut-off."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 99,
-   "id": "8d1e9271-7c2a-480d-a576-81c4f637f4a0",
+   "execution_count": 48,
+   "id": "96e1d463-ac21-4508-9fce-000e8d5353ad",
    "metadata": {},
    "outputs": [],
    "source": [
-    "correlatable_bs = correlatable[correlatable['bit score (FS)'] > bitscore_cut_off]"
+    "matrix.ax_row_dendrogram.set_visible(False)\n",
+    "matrix.ax_col_dendrogram.set_visible(False)\n",
+    "matrix.fig\n",
+    "matrix.savefig('./figures/analysis-annotation-sequence_structure_properties_correlation.svg')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
-   "id": "0f2d4fd8-0980-4e85-97bb-75d599277c95",
+   "execution_count": 68,
+   "id": "ddd8baec-fd44-46e2-8520-9c9bf35617e5",
    "metadata": {},
    "outputs": [],
    "source": [
-    "cor_bs = correlatable_bs.corr()\n",
-    "#cor = np.corrcoef(corr.T)\n",
-    "cor_bs = pd.DataFrame(cor_bs, columns=cor_bs.columns, index=cor_bs.columns)\n",
-    "mask = np.triu(np.ones_like(cor_bs))"
+    "novelfold = annotations_complete[(annotations_complete['annotation_category'] == \"nostr_noseq\") & (annotations_complete['plddt'] > 70) & (annotations_complete['bit score'].isnull())]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
-   "id": "91478436-6d29-4625-a932-5c33fa212d30",
+   "execution_count": 73,
+   "id": "5b21c34b-a61d-4f23-8df6-1e8ff8852d57",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>protein_id</th>\n",
+       "      <th>eggNOG_OGs_struct</th>\n",
+       "      <th>MSA size</th>\n",
+       "      <th>alignment length</th>\n",
+       "      <th>query length</th>\n",
+       "      <th>seq. id.</th>\n",
+       "      <th>bit score</th>\n",
+       "      <th>plddt</th>\n",
+       "      <th>complete_protein</th>\n",
+       "      <th>Preferred_name_struct</th>\n",
+       "      <th>Description_struct</th>\n",
+       "      <th>eggNOG_OGs_seq</th>\n",
+       "      <th>score</th>\n",
+       "      <th>Preferred_name_seq</th>\n",
+       "      <th>Description_seq</th>\n",
+       "      <th>annotation_category</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>25649</th>\n",
+       "      <td>66261</td>\n",
+       "      <td>None</td>\n",
+       "      <td>432.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>292.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>89.395000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41478</th>\n",
+       "      <td>50148</td>\n",
+       "      <td>None</td>\n",
+       "      <td>57.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>262.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>91.469237</td>\n",
+       "      <td>True</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15261</th>\n",
+       "      <td>2847</td>\n",
+       "      <td>None</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>261.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>88.312644</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29244</th>\n",
+       "      <td>27072</td>\n",
+       "      <td>None</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>259.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>93.008378</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9962</th>\n",
+       "      <td>47401</td>\n",
+       "      <td>None</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>257.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>91.721790</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7372</th>\n",
+       "      <td>12540</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1313.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>243.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>92.594321</td>\n",
+       "      <td>True</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21819</th>\n",
+       "      <td>85380</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1841.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>243.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>93.067737</td>\n",
+       "      <td>True</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32410</th>\n",
+       "      <td>67319</td>\n",
+       "      <td>None</td>\n",
+       "      <td>175.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>211.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>94.337062</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22840</th>\n",
+       "      <td>59630</td>\n",
+       "      <td>None</td>\n",
+       "      <td>72.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>210.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>89.712667</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25157</th>\n",
+       "      <td>25853</td>\n",
+       "      <td>None</td>\n",
+       "      <td>220.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>209.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>95.161196</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6022</th>\n",
+       "      <td>12140</td>\n",
+       "      <td>None</td>\n",
+       "      <td>290.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>199.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>95.137437</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10699</th>\n",
+       "      <td>59257</td>\n",
+       "      <td>None</td>\n",
+       "      <td>295.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>198.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>93.800657</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6067</th>\n",
+       "      <td>14136</td>\n",
+       "      <td>None</td>\n",
+       "      <td>347.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>196.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>95.258776</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7888</th>\n",
+       "      <td>41355</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>189.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>95.370000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24878</th>\n",
+       "      <td>11077</td>\n",
+       "      <td>None</td>\n",
+       "      <td>251.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>189.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>94.243545</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41137</th>\n",
+       "      <td>11137</td>\n",
+       "      <td>None</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>188.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>95.205745</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16650</th>\n",
+       "      <td>518</td>\n",
+       "      <td>None</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>188.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>93.241862</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11112</th>\n",
+       "      <td>46005</td>\n",
+       "      <td>None</td>\n",
+       "      <td>383.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>96.219239</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>522</th>\n",
+       "      <td>47403</td>\n",
+       "      <td>None</td>\n",
+       "      <td>408.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>177.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>96.385198</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>nostr_noseq</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "<Figure size 720x720 with 4 Axes>"
+       "       protein_id eggNOG_OGs_struct  MSA size  alignment length  query length  \\\n",
+       "25649       66261              None     432.0               NaN         292.0   \n",
+       "41478       50148              None      57.0               NaN         262.0   \n",
+       "15261        2847              None     100.0               NaN         261.0   \n",
+       "29244       27072              None      20.0               NaN         259.0   \n",
+       "9962        47401              None       3.0               NaN         257.0   \n",
+       "7372        12540              None    1313.0               NaN         243.0   \n",
+       "21819       85380              None    1841.0               NaN         243.0   \n",
+       "32410       67319              None     175.0               NaN         211.0   \n",
+       "22840       59630              None      72.0               NaN         210.0   \n",
+       "25157       25853              None     220.0               NaN         209.0   \n",
+       "6022        12140              None     290.0               NaN         199.0   \n",
+       "10699       59257              None     295.0               NaN         198.0   \n",
+       "6067        14136              None     347.0               NaN         196.0   \n",
+       "7888        41355              None       2.0               NaN         189.0   \n",
+       "24878       11077              None     251.0               NaN         189.0   \n",
+       "41137       11137              None      23.0               NaN         188.0   \n",
+       "16650         518              None      61.0               NaN         188.0   \n",
+       "11112       46005              None     383.0               NaN         184.0   \n",
+       "522         47403              None     408.0               NaN         177.0   \n",
+       "\n",
+       "       seq. id.  bit score      plddt complete_protein Preferred_name_struct  \\\n",
+       "25649       NaN        NaN  89.395000            False                  None   \n",
+       "41478       NaN        NaN  91.469237             True                  None   \n",
+       "15261       NaN        NaN  88.312644            False                  None   \n",
+       "29244       NaN        NaN  93.008378            False                  None   \n",
+       "9962        NaN        NaN  91.721790            False                  None   \n",
+       "7372        NaN        NaN  92.594321             True                  None   \n",
+       "21819       NaN        NaN  93.067737             True                  None   \n",
+       "32410       NaN        NaN  94.337062            False                  None   \n",
+       "22840       NaN        NaN  89.712667            False                  None   \n",
+       "25157       NaN        NaN  95.161196            False                  None   \n",
+       "6022        NaN        NaN  95.137437            False                  None   \n",
+       "10699       NaN        NaN  93.800657            False                  None   \n",
+       "6067        NaN        NaN  95.258776            False                  None   \n",
+       "7888        NaN        NaN  95.370000            False                  None   \n",
+       "24878       NaN        NaN  94.243545            False                  None   \n",
+       "41137       NaN        NaN  95.205745            False                  None   \n",
+       "16650       NaN        NaN  93.241862            False                  None   \n",
+       "11112       NaN        NaN  96.219239            False                  None   \n",
+       "522         NaN        NaN  96.385198            False                  None   \n",
+       "\n",
+       "      Description_struct eggNOG_OGs_seq  score Preferred_name_seq  \\\n",
+       "25649               None            NaN    NaN                NaN   \n",
+       "41478               None            NaN    NaN                NaN   \n",
+       "15261               None            NaN    NaN                NaN   \n",
+       "29244               None            NaN    NaN                NaN   \n",
+       "9962                None            NaN    NaN                NaN   \n",
+       "7372                None            NaN    NaN                NaN   \n",
+       "21819               None            NaN    NaN                NaN   \n",
+       "32410               None            NaN    NaN                NaN   \n",
+       "22840               None            NaN    NaN                NaN   \n",
+       "25157               None            NaN    NaN                NaN   \n",
+       "6022                None            NaN    NaN                NaN   \n",
+       "10699               None            NaN    NaN                NaN   \n",
+       "6067                None            NaN    NaN                NaN   \n",
+       "7888                None            NaN    NaN                NaN   \n",
+       "24878               None            NaN    NaN                NaN   \n",
+       "41137               None            NaN    NaN                NaN   \n",
+       "16650               None            NaN    NaN                NaN   \n",
+       "11112               None            NaN    NaN                NaN   \n",
+       "522                 None            NaN    NaN                NaN   \n",
+       "\n",
+       "      Description_seq annotation_category  \n",
+       "25649             NaN         nostr_noseq  \n",
+       "41478             NaN         nostr_noseq  \n",
+       "15261             NaN         nostr_noseq  \n",
+       "29244             NaN         nostr_noseq  \n",
+       "9962              NaN         nostr_noseq  \n",
+       "7372              NaN         nostr_noseq  \n",
+       "21819             NaN         nostr_noseq  \n",
+       "32410             NaN         nostr_noseq  \n",
+       "22840             NaN         nostr_noseq  \n",
+       "25157             NaN         nostr_noseq  \n",
+       "6022              NaN         nostr_noseq  \n",
+       "10699             NaN         nostr_noseq  \n",
+       "6067              NaN         nostr_noseq  \n",
+       "7888              NaN         nostr_noseq  \n",
+       "24878             NaN         nostr_noseq  \n",
+       "41137             NaN         nostr_noseq  \n",
+       "16650             NaN         nostr_noseq  \n",
+       "11112             NaN         nostr_noseq  \n",
+       "522               NaN         nostr_noseq  "
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "plt = sns.clustermap(cor_bs, cmap='RdYlBu_r', square=True, \n",
-    "              vmin=-1, vmax=1, figsize=(10,10))"
+    "novelfold.sort_values(by = 'query length', ascending=False)[1:20]"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "58cba212-35f8-4f00-af0a-c46460bd5e08",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
-- 
GitLab