一键导入
chip-seq
ChIP-seq peak calling and downstream interpretation with MACS3, signal track export, annotation, motif analysis, and differential binding review.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
ChIP-seq peak calling and downstream interpretation with MACS3, signal track export, annotation, motif analysis, and differential binding review.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.
Shotgun metagenomics workflow with host-depletion-aware QC, taxonomic profiling, functional profiling, AMR follow-up, and reproducible community output tables.
Mass spectrometry proteomics QC, quantification, comparative analysis, and export for DDA, DIA, and protein-level result tables.
Structure retrieval, confidence-aware AlphaFold DB usage, coordinate download, PAE and pLDDT interpretation, and structure-guided biological annotation.
Automated and marker-guided single-cell cell type annotation using CellTypist, marker review, reference transfer, and confidence-aware label curation.
Standard scRNA-seq preprocessing and clustering with Scanpy. Use for QC, normalization, HVG selection, PCA, neighbor graph construction, UMAP, Leiden clustering, and export of an analysis-ready AnnData object.
| name | chip-seq |
| description | ChIP-seq peak calling and downstream interpretation with MACS3, signal track export, annotation, motif analysis, and differential binding review. |
| tool_type | mixed |
| primary_tool | MACS3 |
Reference examples assume:
macs3 3.0+samtools 1.18+deepTools 3.5+Before using commands, verify the installed environment:
macs3 --version, samtools --version, bamCoverage --version--help and adapt rather than forcing the example unchanged.Use this skill for:
--broad.-f BAMPE.| Requirement | Narrow TF-style | Broad histone-style |
|---|---|---|
| usable uniquely mapped reads | >= 10M | >= 20M |
| matched input recommended | yes | yes |
| biological replicates recommended | >= 2 | >= 2 |
chip.baminput.bam when availableresults/peaks/sample_peaks.narrowPeak or .broadPeakresults/peaks/sample_summits.bedresults/tracks/sample_treat_pileup.bwresults/annotation/peak_annotation.tsvqc/chip_qc_summary.tsvmacs3 callpeak \
-t chip.bam \
-c input.bam \
-f BAMPE \
-g hs \
-n sample \
-q 0.01 \
--outdir results/peaks
| Parameter | Typical value | Meaning |
|---|---|---|
-f | BAM or BAMPE | paired-end should use BAMPE |
-g | hs, mm, or numeric | effective genome size |
-q | 0.01 or 0.05 | FDR cutoff for narrow peaks |
--broad | broad marks only | broad peak mode |
--broad-cutoff | 0.1 | broad-peak FDR cutoff |
-B --SPMR | enabled for tracks | bedGraph for normalized signal |
Check:
-q 0.01 is a good starting point--broad --broad-cutoff 0.1-f BAMPEUse -B --SPMR, sort the resulting bedGraph, then convert to bigWig for browser use.
Map peaks to promoters, gene bodies, or distal intervals and review top loci in a genome browser or track plot.
Only after peak quality looks credible and replicate structure supports the downstream question.
results/
├── peaks/
│ ├── sample_peaks.narrowPeak
│ ├── sample_summits.bed
│ └── sample_model.r
├── tracks/
│ ├── sample_treat_pileup.bdg
│ └── sample_treat_pileup.bw
└── annotation/
└── peak_annotation.tsv
qc/
└── chip_qc_summary.tsv
< 0.01 poor0.01-0.05 usable but weak> 0.05 generally soliddeeptoolspysam