#!/bin/bash rawdata=../rawdata/AJCHS2200107003 metadata=../metadata/chip-seq-2 reference=../metadata/reference/hg19_insert result=../result/chip-seq-2 pre_mapping() { fastp -w 4 -c -h ${metadata}/${1}.fastp.html -j ${metadata}/${1}.fastp.json \ -i ${rawdata}/${1}_R1.fastq.gz -o ${metadata}/${1}_r1.fq.gz \ -I ${rawdata}/${1}_R2.fastq.gz -O ${metadata}/${1}_r2.fq.gz } mapping() { bowtie2 -p 5 -t --mm -x ${reference} \ -1 ${metadata}/${1}_r1.fq.gz \ -2 ${metadata}/${1}_r2.fq.gz | samtools view -bS - > ${metadata}/${1}.bam samtools sort -n -o ${metadata}/${1}_nsort.bam ${metadata}/${1}.bam samtools fixmate -m ${metadata}/${1}_nsort.bam ${metadata}/${1}_nsort_fix.bam samtools sort -o ${metadata}/${1}_fix_sort.bam ${metadata}/${1}_nsort_fix.bam samtools index ${metadata}/${1}_fix_sort.bam } post_mapping() { picard MarkDuplicates I=${metadata}/${1}_fix_sort.bam \ O=${metadata}/${1}_sort_mdup.bam M=${metadata}/${1}_mdup_metrics.txt samtools view -F 1804 -f 2 -q 1 -u ${metadata}/${1}_sort_mdup.bam | samtools sort \ -o ${metadata}/${1}_rmdup_sort.bam - samtools index ${metadata}/${1}_rmdup_sort.bam samtools view -h ${metadata}/${1}_rmdup_sort.bam | grep -v -P '\tchrM\t' | samtools view \ -b - > ${metadata}/${1}_sort_rm.bam samtools index ${metadata}/${1}_sort_rm.bam } peak_calling() { macs2 callpeak -t ${metadata}/${1}_sort_rm.bam -n ${1} --outdir ${metadata} -g hs -f BAMPE -B --SPMR bedGraphToBigWig ${metadata}/${1}_treat_pileup.bdg ../metadata/reference/hg19_insert.chromsize ${metadata}/${1}.bw } quality_report() { ataqv --threads 5 --peak-file ${metadata}/${1}_peaks.narrowPeak human ${metadata}/${1}_sort_mdup.bam --metrics-file ${metadata}/${1}.ataqv.json.gz mkarv ${metadata}/${1} ${metadata}/${1}.ataqv.json.gz } cross_correlation() { Rscript phantompeakqualtools/run_spp_nodups.R -rf -c=${metadata}/${1}_sort_rm.bam \ -savp=${metadata}/${1}_cross_correlation.pdf \ -savd=${metadata}/${1}_cross_correlation.Rdata \ -out=${metadata}/${1}_cross_correlation.txt } scale_factor() { multiBamSummary bins -b ${metadata}/*_sort_rm.bam --smartLabels -p 20 \ --scalingFactors ${metadata}/scalingFactors.txt -o ${metadata}/readCounts.npz } get_coverage() { bamCoverage -b ${metadata}/1-H3K27AC_combined_sort_rm.bam \ -o ${metadata}/1-H3K27AC_combined.SeqDepthNorm.bw -e -p 5 --scaleFactor 1.8695 \ --binSize 25 bamCoverage -b ${metadata}/2-H3K27AC_combined_sort_rm.bam \ -o ${metadata}/2-H3K27AC_combined.SeqDepthNorm.bw -e -p 5 --scaleFactor 0.8715 \ --binSize 25 bamCoverage -b ${metadata}/3-H3K27AC_combined_sort_rm.bam \ -o ${metadata}/3-H3K27AC_combined.SeqDepthNorm.bw -e -p 5 --scaleFactor 1.3995 \ --binSize 25 } # prefix represent different samples # step1 mapping and produce the quality control report for prefix in 1-H3K27AC_combined 2-H3K27AC_combined 3-H3K27AC_combined; do { pre_mapping "${prefix}" > "${result}/${prefix}.pre_mapping.log" 2>&1 mapping "${prefix}" > "${result}/${prefix}.mapping.log" 2>&1 post_mapping "${prefix}" > "${result}/${prefix}.post_mapping.log" 2>&1 peak_calling "${prefix}" > "${result}/${prefix}.peak_calling.log" 2>&1 quality_report "${prefix}" > "${result}/${prefix}.quality_report.log" 2>&1 cross_correlation "${prefix}" > "${result}/${prefix}.cross_correlation.log" 2>&1 } & done # step2 calculate the scale factor scale_factor > "${result}/scale_factor.log" 2>&1 # step3 get the coverage get_coverage > "${result}/get_coverage.log" 2>&1