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Maintainer FreedomIntelligence · Last updated April 1, 2026
ChIP-seq: alignment → peak calling → motif analysis → annotation.
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-workflows-chipseq-pipeline
Skill Snapshot
Source Doc
bowtie2-build genome.fa bt2_index/genome
for sample in IP_rep1 IP_rep2 Input_rep1 Input_rep2; do
bowtie2 -p 8 -x bt2_index/genome
-1 trimmed/${sample}_R1.fq.gz
-2 trimmed/${sample}_R2.fq.gz
--no-mixed --no-discordant
--maxins 1000
2> aligned/${sample}.log |
samtools view -@ 4 -bS -q 30 - |
samtools sort -@ 4 -o aligned/${sample}.bam
done
**QC Checkpoint:** Check alignment rate
- Overall alignment >80%
- Unique mapping >70%
## Narrow peaks (TFs, sharp histone marks like H3K4me3)
macs3 callpeak \
-t aligned/IP_rep1.final.bam aligned/IP_rep2.final.bam \
-c aligned/Input_rep1.final.bam aligned/Input_rep2.final.bam \
-f BAMPE \
-g hs \
-n experiment \
--outdir peaks \
-q 0.01
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