Last updated: 2019-02-15
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Knit directory: threeprimeseq/analysis/
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File | Version | Author | Date | Message |
---|---|---|---|---|
html | c431439 | Briana Mittleman | 2018-06-13 | Build site. |
Rmd | 772ca2b | Briana Mittleman | 2018-06-13 | picard enrichment plots |
html | 08b5934 | Briana Mittleman | 2018-06-13 | Build site. |
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.
library(workflowr)
This is workflowr version 1.2.0
Run ?workflowr for help getting started
library(ggplot2)
library(dplyr)
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
library(tidyr)
library(reshape2)
Attaching package: 'reshape2'
The following object is masked from 'package:tidyr':
smiths
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.
pic.enrich=read.csv("../output/picard/picard.all.enrichment.csv")
pic.enrich.melt=melt(pic.enrich, id.vars="normalized_position") %>% mutate(fraction=ifelse(grepl("T",variable), "total", "nuclear"))%>% mutate(line=substr(variable,3,7))
Plot this as line plot:
enrichment.by.line=ggplot(pic.enrich.melt, aes(x=normalized_position, y=value, col=fraction)) + geom_line() + facet_wrap(~line) + labs(y="Normalized Coverage", title="3' Seq enrichment at 3' end of genes", x="Normalized Position") +scale_color_manual(values=c("red", "blue"))
ggsave("../output/plots/enrich.by.line.png", enrichment.by.line)
Saving 7 x 5 in image
enrichment_byfrac=ggplot(pic.enrich.melt, aes(x=normalized_position, y=value, by=line, col=fraction)) + geom_line() + labs(y="Normalized Coverage", title="3' Seq enrichment at 3' end of genes", x="Normalized Position")+ scale_color_manual(values=c("red", "blue"))
ggsave("../output/plots/enrich.by.fraction.png", enrichment_byfrac)
Saving 7 x 5 in image
enrich.by.line.fraction=ggplot(pic.enrich.melt, aes(x=normalized_position, y=value, col=line)) + geom_line() + facet_wrap(~fraction) + labs(y="Normalized Coverage", title="3' Seq enrichment at 3' end of genes", x="Normalized Position")
ggsave("../output/plots/enrich.by.line.fraction.png",enrich.by.line.fraction)
Saving 7 x 5 in image
sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS 10.14.1
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/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
other attached packages:
[1] bindrcpp_0.2.2 reshape2_1.4.3 tidyr_0.8.1 dplyr_0.7.6
[5] ggplot2_3.0.0 workflowr_1.2.0
loaded via a namespace (and not attached):
[1] Rcpp_0.12.19 compiler_3.5.1 pillar_1.3.0 git2r_0.24.0
[5] plyr_1.8.4 bindr_0.1.1 tools_3.5.1 digest_0.6.17
[9] evaluate_0.13 tibble_1.4.2 gtable_0.2.0 pkgconfig_2.0.2
[13] rlang_0.2.2 yaml_2.2.0 withr_2.1.2 stringr_1.4.0
[17] knitr_1.20 fs_1.2.6 rprojroot_1.3-2 grid_3.5.1
[21] tidyselect_0.2.4 glue_1.3.0 R6_2.3.0 rmarkdown_1.11
[25] purrr_0.2.5 magrittr_1.5 whisker_0.3-2 backports_1.1.2
[29] scales_1.0.0 htmltools_0.3.6 assertthat_0.2.0 colorspace_1.3-2
[33] labeling_0.3 stringi_1.2.4 lazyeval_0.2.1 munsell_0.5.0
[37] crayon_1.3.4