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Commit b56d81f0 authored by Sascha Meiers's avatar Sascha Meiers
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Explain that multiple samples can be run now

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...@@ -7,7 +7,7 @@ Preliminary SV calling using Strand-seq data - summarized in a [Snakemake](https ...@@ -7,7 +7,7 @@ Preliminary SV calling using Strand-seq data - summarized in a [Snakemake](https
### How to use it ### How to use it
1. **Install required software:** 1. **Install required software:**
* Install [mosaicatcher](https://github.com/friendsofstrandseq/mosaicatcher) (*currently you will need the `develop` branch*) * Install [mosaicatcher](https://github.com/friendsofstrandseq/mosaicatcher) (*currently you will need the `develop` branch*)
* Get the R-scripts from [strandsequtils](https://github.com/friendsofstrandseq/strandsequtils) * Get the R-scripts from [strandsequtils](https://github.com/friendsofstrandseq/strandsequtils)
* Install BSgenome.Hsapiens.UCSC.hg38: * Install BSgenome.Hsapiens.UCSC.hg38:
...@@ -18,15 +18,20 @@ Preliminary SV calling using Strand-seq data - summarized in a [Snakemake](https ...@@ -18,15 +18,20 @@ Preliminary SV calling using Strand-seq data - summarized in a [Snakemake](https
* [Strand-Phaser](https://github.com/daewoooo/StrandPhaseR) is installed automagically * [Strand-Phaser](https://github.com/daewoooo/StrandPhaseR) is installed automagically
2. **Set up the configuration of the smakemake pipeline** 2. **Set up the configuration of the smakemake pipeline**
* Open `Snake.config.json` and specify the path to the executatables (such as Mosaicatcher) and to the R scripts. * Open `Snake.config.json` and specify the path to the executatables
* Create a subdirectory `bam` and copy (or soft-link) the Strand-seq single-cell libraries in there. Note that bam files need to contain a read group and should have duplicates marked. (such as Mosaicatcher) and to the R scripts.
* Create a subdirectory `bam/` and another subdirectory per sample (e.g.
`bam/NA12878`). **Multiple samples can be run together not**.
Then copy (or soft-link) the Strand-seq single-cell libraries (one BAM
file per cell) in there. Note that bam files need to contain a read group
and should have duplicates marked.
3. **Run Snakemake** 3. **Run Snakemake**
* run `snakemake` to compute all tasks locally * run `snakemake` to compute all tasks locally
* Alternatively, you can ask Snakemake to submit your jobs to a HPC cluster. To this end edit the `Snake.cluster.json` file according to your available HPC environment and call * Alternatively, you can ask Snakemake to submit your jobs to a HPC cluster. To this end edit the `Snake.cluster.json` file according to your available HPC environment and call
``` ```
snakemake -j 100 \ snakemake -j 100 \
--cluster-config Snake.cluster.json \ --cluster-config Snake.cluster.json \
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