accessibility-aggregat…
Build comprehensive chromatin accessibility maps by aggregating ATAC-seq and DNase-seq narrowPeak data across multiple ENCODE experiments, donors, and labs.…
Execute ENCODE ATAC-seq processing pipeline from FASTQ to peaks and signal tracks. Child of pipeline-guide. Provides stage-by-stage Nextflow execution with Docker containers and cloud deployment. Handles Tn5 transposase offset correction, mitochondrial read removal,
$ npx -y skills add ammawla/encode-toolkit --skill pipeline-atacseq --agent claude-codeHow it fires
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Execute ENCODE ATAC-seq processing pipeline from FASTQ to peaks and signal tracks. Child of pipeline-guide. Provides stage-by-stage Nextflow execution with Docker containers and cloud deployment. Handles Tn5 transposase offset correction, mitochondrial read removal,
name: pipeline-atacseq description: "Execute ENCODE ATAC-seq processing pipeline from FASTQ to peaks and signal tracks. Child of pipeline-guide. Provides stage-by-stage Nextflow execution with Docker containers and cloud deployment. Handles Tn5 transposase offset correction, mitochondrial read removal, nucleosome-free fragment selection, and TSS enrichment scoring. Use when users need to process ATAC-seq data following ENCODE standards. Trigger on: ATAC-seq pipeline, run ATAC-seq, process ATAC-seq, chromatin accessibility, open chromatin, Tn5 shift, TSS enrichment."
Execute the ENCODE ATAC-seq processing pipeline from raw FASTQ files through Tn5 offset correction, peak calling, IDR analysis, and signal track generation. This skill provides a complete Nextflow DSL2 implementation following ENCODE uniform analysis standards.
ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) uses the Tn5 transposase to probe open chromatin regions. The ENCODE pipeline processes ATAC-seq data through quality control, alignment with Bowtie2, Tn5 insertion site correction (+4/-5 bp offset), mitochondrial read removal, nucleosome-free fragment selection, peak calling with MACS2, and IDR-based replicate consistency analysis.
Key differences from ChIP-seq: Bowtie2 aligner (optimized for short fragments), Tn5 transposase shift correction, aggressive mitochondrial read filtering (can be 30-80% of reads), nucleosomal fragment size distribution as a QC metric, and TSS enrichment score as the primary quality indicator.
| Reference | Journal | Year | DOI | Relevance | |-----------|---------|------|-----|-----------| | Buenrostro et al. "Transposition of native chromatin (ATAC-seq)" | Nature Methods | 2013 | 10.1038/nmeth.2688 | Original ATAC-seq method (~5,000 citations) | | Corces et al. "An improved ATAC-seq protocol" | Nature Methods | 2017 | 10.1038/nmeth.4396 | Omni-ATAC improvements (~2,500 citations) | | ENCODE Project Consortium "Expanded encyclopaedias" | Nature | 2020 | 10.1038/s41586-020-2493-4 | ENCODE Phase 3 standards | | Amemiya et al. "ENCODE Blacklist" | Scientific Reports | 2019 | 10.1038/s41598-019-45839-z | Artifact regions (~1,372 citations) | | Langmead & Salzberg "Fast gapped-read alignment with Bowtie 2" | Nature Methods | 2012 | 10.1038/nmeth.1923 | Aligner (~30,000 citations) | | Yan et al. "From reads to insight: ATAC-seq analysis" | Genome Biology | 2020 | 10.1186/s13059-020-1929-3 | Analysis best practices |
FASTQ ──> FastQC / Trim Galore ──> Bowtie2 ──> Mito Removal + Tn5 Shift │ │ │ ┌──────────────────────────────────────────┘ │ v │ Picard MarkDup ──> Blacklist Filter ──> Size Selection │ │ │ ┌─────────────────┬────────────┘ │ v v │ NFR Fragments Mono-Nucleosome │ │ │ v │ MACS2 Peak Calling ──> IDR Analysis │ │ │ │ v v │ Signal Tracks QC Report (MultiQC + ataqv) v Raw QC Report
| Stage | Tool | Input | Output | Reference | |-------|------|-------|--------|-----------| | 1. QC & Trimming | FastQC, Trim Galore | Raw FASTQ | Trimmed FASTQ | references/01-qc-trimming.md | | 2. Alignment | Bowtie2 | Trimmed FASTQ | Sorted BAM | references/02-alignment.md | | 3. Tn5 Shift & Filtering | Samtools, bedtools, Picard | Sorted BAM | Shifted, filtered BAM | references/03-tn5-filtering.md | | 4. Peak Calling & IDR | MACS2, IDR | Filtered BAM | Peaks (narrowPeak) | references/04-peak-calling.md | | 5. QC & Signal | deeptools, ataqv, MultiQC | Filtered BAM, Peaks | bigWig, QC report | references/05-qc-metrics.md |
sample_id,read1,read2,replicate SAMPLE1_rep1,atac_R1.fq.gz,atac_R2.fq.gz,1 SAMPLE1_rep2,atac_R1.fq.gz,atac_R2.fq.gz,2
**No input control needed**: Unlike ChIP-seq, ATAC-seq does not require a separate input or IgG control. MACS2 calls peaks against a local background model.
The Tn5 transposase inserts sequencing adapters with a 9-bp duplication. To center reads on the actual cut site:
This correction is essential for accurate footprinting and motif analysis.
ATAC-seq produces a characteristic nucleosomal ladder pattern:
| Fragment Class | Size Range | Biological Meaning | |---------------|------------|-------------------| | Nucleosome-free (NFR) | <150 bp | Open chromatin / TF binding | | Mono-nucleosome | 150-300 bp | Single nucleosome wrapping | | Di-nucleosome | 300-500 bp | Two nucleosomes | | Tri-nucleosome | 500-700 bp | Three nucleosomes |
For peak calling, use **nucleosome-free reads (<150 bp)** only.
| Metric | Threshold | Category | Source | |--------|-----------|----------|--------| | Total sequenced reads | >=50M (recommended) | Read depth | ENCODE | | Mapping rate | >80% | Alignment | ENCODE | | Mitochondrial fraction | <20% (ideal <5%) | Sample quality | ENC
Search ENCODE, cross-reference 14 databases, run 7 analysis pipelines, and generate publication-ready methods — all from natural language in Claude Code.
Repo: ammawla/encode-toolkit
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