Last updated: 2018-06-13
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File | Version | Author | Date | Message |
---|---|---|---|---|
Rmd | 642faf0 | Briana Mittleman | 2018-06-13 | start PAS enrichment analysis |
I am going to use this analysis to look for enrichment of my 3’ seq reads at annoated PAS sites. This is similar to the analysis I ran for the net-seq https://brimittleman.github.io/Net-seq/use_deeptools.html.
Step 1: Create bigwig coverage files with bamcoverage
Step 2: computeMatrix
I will need my normalized bigwig reads and the bed interval file (in my case PAS clusters)
ex: computeMatrix scale-regions -S
–skipZeros (option- not included in first try)
Step 3: Plot heatmap
required –matrixFile, -m (from the compute matrix), -out (file name to save image.png)
–sortRegions descending
–plotTitle, -T
#!/bin/bash
#SBATCH --job-name=deeptools_pas
#SBATCH --time=8:00:00
#SBATCH --partition=broadwl
#SBATCH --mem=40G
#SBATCH --tasks-per-node=4
#SBATCH --mail-type=END
#SBATCH --output=deeptool_pas_sbatch.out
#SBATCH --error=deeptools_pas_sbatch.err
module load Anaconda3
source activate three-prime-env
sample=$1
describer=$(echo ${sample} | sed -e 's/.*\YL-SP-//' | sed -e "s/-sort.bam$//")
bamCoverage -b $1
-o /project2/gilad/briana/threeprimeseq/output/deeptools/${describer}.bw
computeMatrix reference-point -S project2/gilad/briana/threeprimeseq/output/deeptools/${describer}.bw -R /project2/gilad/briana/apa_sites/rnaseq_LCL/clusters_fullAnno.bed -b 500 -a 500 -out /project2/gilad/briana/threeprimeseq/output/deeptools/${describer}.PAS.gz
plotHeatmap --sortRegions descend --refPointLabel "PAS" -m /project2/gilad/briana/threeprimeseq/output/deeptools/${describer}.PAS.gz -out /project2/gilad/briana/threeprimeseq/output/deeptools/${describer}.PAS.gz.png
I am running this on YL-SP-18486-N_S10_R1_001-sort.bam to try it first.
sessionInfo()
R version 3.4.2 (2017-09-28)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS Sierra 10.12.6
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] workflowr_1.0.1 Rcpp_0.12.17 digest_0.6.15
[4] rprojroot_1.3-2 R.methodsS3_1.7.1 backports_1.1.2
[7] git2r_0.21.0 magrittr_1.5 evaluate_0.10.1
[10] stringi_1.2.2 whisker_0.3-2 R.oo_1.22.0
[13] R.utils_2.6.0 rmarkdown_1.8.5 tools_3.4.2
[16] stringr_1.3.1 yaml_2.1.19 compiler_3.4.2
[19] htmltools_0.3.6 knitr_1.18
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