Bio Atac Seq Differential Accessibility
FreedomIntelligence/OpenClaw-Medical-Skills
Find differentially accessible chromatin regions between conditions using DiffBind or DESeq2.
Orchestrates the end-to-end bulk ATAC-seq pipeline from FASTQ to differential accessibility and TF footprints, chaining Nextera-aware fastp QC, Bowtie2 alignment, chrM removal, dedup, a single Tn5…
$ npx skills add GPTomics/bioSkills --skill bio-workflows-atacseq-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GPTomics/bioSkills bio-workflows-atacseq-pipeline --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workflows/atacseq-pipeline .claude/skills/bio-workflows-atacseq-pipeline && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "bio-workflows-atacseq-pipeline" agent skill from https://github.com/GPTomics/bioSkills/tree/main/workflows/atacseq-pipeline into .claude/skills/bio-workflows-atacseq-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-workflows-atacseq-pipeline", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/GPTomics/bioSkills/tree/main/workflows/atacseq-pipelineType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add GPTomics/bioSkills --skill bio-workflows-atacseq-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GPTomics/bioSkills bio-workflows-atacseq-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workflows/atacseq-pipeline .agents/skills/bio-workflows-atacseq-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bio-workflows-atacseq-pipeline" agent skill from https://github.com/GPTomics/bioSkills/tree/main/workflows/atacseq-pipeline into .agents/skills/bio-workflows-atacseq-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-workflows-atacseq-pipeline", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GPTomics/bioSkills --skill bio-workflows-atacseq-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GPTomics/bioSkills bio-workflows-atacseq-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workflows/atacseq-pipeline .cursor/skills/bio-workflows-atacseq-pipeline && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "bio-workflows-atacseq-pipeline" agent skill from https://github.com/GPTomics/bioSkills/tree/main/workflows/atacseq-pipeline into .cursor/skills/bio-workflows-atacseq-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-workflows-atacseq-pipeline", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/GPTomics/bioSkills.git --path workflows/atacseq-pipeline--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add GPTomics/bioSkills --skill bio-workflows-atacseq-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GPTomics/bioSkills bio-workflows-atacseq-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workflows/atacseq-pipeline .gemini/skills/bio-workflows-atacseq-pipeline && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "bio-workflows-atacseq-pipeline" agent skill from https://github.com/GPTomics/bioSkills/tree/main/workflows/atacseq-pipeline into .gemini/skills/bio-workflows-atacseq-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-workflows-atacseq-pipeline", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install GPTomics/bioSkills bio-workflows-atacseq-pipelineInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add GPTomics/bioSkills --skill bio-workflows-atacseq-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .github/skills && cp -r skills-src/workflows/atacseq-pipeline .github/skills/bio-workflows-atacseq-pipeline && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "bio-workflows-atacseq-pipeline" agent skill from https://github.com/GPTomics/bioSkills/tree/main/workflows/atacseq-pipeline into .github/skills/bio-workflows-atacseq-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-workflows-atacseq-pipeline", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GPTomics/bioSkills --skill bio-workflows-atacseq-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GPTomics/bioSkills bio-workflows-atacseq-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workflows/atacseq-pipeline .opencode/skills/bio-workflows-atacseq-pipeline && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "bio-workflows-atacseq-pipeline" agent skill from https://github.com/GPTomics/bioSkills/tree/main/workflows/atacseq-pipeline into .opencode/skills/bio-workflows-atacseq-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-workflows-atacseq-pipeline", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
bio-workflows-atacseq-pipelineOrchestrates the end-to-end bulk ATAC-seq pipeline from FASTQ to differential accessibility and TF footprints, chaining Nextera-aware fastp QC, Bowtie2 alignment, chrM removal, dedup, a single Tn5…
Bio Workflows Atacseq Pipeline is an agent skill from GPTomics/bioSkills. Orchestrates the end-to-end bulk ATAC-seq pipeline from FASTQ to differential accessibility and TF footprints, chaining Nextera-aware fastp QC, Bowtie2 alignment, chrM removal, dedup, a single Tn5 +4/-5 shift, MACS3 peak calling, Corces fixed-width consensus, DiffBind/csaw differential accessibility, and TOBIAS footprinting. Use when committing the reference build + blacklist once, recognizing ATAC has NO input control (the shift-extend model IS the background), applying the Tn5 shift exactly once (never…
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `examples/atacseq_workflow.sh` and `usage-guide.md`).
It sits in Frontend & Design, covering Bioinformatics, OSINT and Accessibility. The repository describes itself as: a set of SKILLS.md for doing bioinformatics with agents like claude code. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d91ed3d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Shell and R), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Bio Workflows Atacseq Pipeline loads about 4.1k tokens when it runs. Until then it costs about 203 tokens; SKILL.md has 1,269 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from GPTomics/bioSkills at commit d91ed3d, republished under its MIT licence (© GPTomics). 1,269 words, ~4,148 tokens.
.claude/skills/bio-workflows-atacseq-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Reference examples tested with: Bowtie2 2.5.3+, MACS3 3.0+, Genrich 0.6+, bedtools 2.31+, deepTools 3.5+ (alignmentSieve), fastp 0.23+, samtools 1.19+, DiffBind 3.12+, TOBIAS 0.16+
Before using code patterns, verify installed versions match. If versions differ:
packageVersion('<pkg>') then ?function_name to verify parameters<tool> --version then <tool> --help to confirm flagsIf code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
Note: macs3 callpeak -f BAMPE uses real fragment lengths and IGNORES --shift/--extsize/--nomodel; the cut-site style needs -f BAM/-f BED on Tn5-shifted reads. alignmentSieve --ATACshift applies the +4/-5 shift once. ENCODE ATAC-seq v3 and v4 QC thresholds are not interchangeable. Confirm in-tool before quoting.
"Run ATAC-seq from FASTQ to differential accessibility and footprints" -> Chain QC/trim, alignment, chrM removal, dedup, a single Tn5 shift, peak calling, fixed-width consensus, differential accessibility, and footprinting.
This is a workflow skill: it owns the chaining decisions and hand-offs, not the internals of any one step. Every step below cross-references the component skill that teaches its mechanism.
ATAC-seq differs from ChIP-seq at four seams, and each is where the analysis goes wrong.
alignmentSieve --ATACshift (or one bedtools awk) applies it. Applying it twice, or combining -f BAMPE with --shift/--extsize (silently ignored), misplaces every cut site. Pick ONE calling mode: cut-site (-f BAM/-f BED + --nomodel --shift -75 --extsize 150) OR fragment (-f BAMPE on shifted reads, NO --shift).Reporting corollary: ENCODE ATAC v3 and v4 define TSS-enrichment/FRiP thresholds differently -- pick one standard and state which; do not mix rows across versions.
FASTQ (paired, Nextera)
| [1] QC & trim -----------------> fastp (Nextera adapters) (read-qc/fastp-workflow)
v
| [2] Align ---------------------> bowtie2 --very-sensitive -X 2000 (read-alignment/bowtie2-alignment)
v ^-- commitment: build + ENCODE blacklist (NO input control)
| [3] Drop chrM (BEFORE dedup/peaks) -> mito can be 20-50% of reads
v
| [4] Dedup --------------------> markdup -r (alignment-files/duplicate-handling)
v
| [5] Tn5 shift ONCE ------------> alignmentSieve --ATACshift (+4/-5)
v ^-- pick ONE calling mode; never BAMPE + --shift
| [6] Peak calling -------------> macs3 (cut-site -f BAM --shift/--extsize | -f BAMPE) (atac-seq/atac-peak-calling)
v
| [7] Fixed-width consensus -----> Corces 501 bp iterative overlap (atac-seq/consensus-peakset)
v
| [8] QC + differential + footprints -> TSS/FRiP/fragment; DiffBind/csaw; TOBIAS (atac-seq/atac-qc, differential-accessibility, footprinting)
v
Accessibility peaks + differential regions + TF activity| Commitment | Choice | Consequence inherited downstream |
|---|---|---|
| Build + blacklist | One build; ENCODE blacklist (removed before calling) | ATAC has no input, so the blacklist + shift-extend model ARE the background control |
| Tn5 shift | Applied ONCE (--ATACshift), then ONE calling mode | Double-shift or BAMPE+--shift misplaces cut sites |
| chrM handling | Removed before dedup/peaks | Mito reads (20-50%) inflate depth, FRiP, normalization |
| Differential interval | Fixed-width Corces 501 bp consensus | Variable-width peaks make per-sample counts non-comparable |
CTGTCTCTTATACACATCT).--very-sensitive -X 2000) so the full nucleosome-spanning fragment distribution is captured.markdup -r physically removes duplicates, so NRF/PBC1 computed afterwards are identically 1.0; and mito reads are over-amplified, so computing them before chrM removal measures chrM chemistry, not nuclear-library complexity. The binding constraint is PRE-DEDUP. Mito must go before peak calling regardless.alignmentSieve --ATACshift).-f BAMPE + --shift/--extsize silently drops the flags.Pipeline-level selection only; mechanism lives in the component skills.
| Fork | Lean toward | Hand off to |
|---|---|---|
| Caller | MACS3 (standard); Genrich (-j ATAC mode: handles replicates + chrM + blacklist in one pass); HMMRATAC (nucleosome-aware HMM) | atac-seq/atac-peak-calling |
| Calling mode | Cut-site -f BAM/-f BED + --nomodel --shift -75 --extsize 150 (ENCODE smoothing window on shifted reads) vs fragment -f BAMPE on shifted reads (no --shift) | atac-seq/atac-peak-calling |
| Consensus | Corces 2018 iterative-overlap fixed-width 501 bp | atac-seq/consensus-peakset |
| Differential | DiffBind / csaw / DESeq2 on the fixed-width count matrix; spike-in for global shifts | atac-seq/differential-accessibility |
Goal: turn Nextera FASTQ into shifted, chrM-free peaks ready for a fixed-width consensus.
Approach: align with a wide insert window, drop chrM, dedup, Tn5-shift once, then call in ONE mode. Full runnable script: examples/atacseq_workflow.sh; differential: examples/differential_atac.R.
bowtie2 -p 8 -x bt2_index/genome -1 trimmed/${s}_R1.fq.gz -2 trimmed/${s}_R2.fq.gz \
--very-sensitive --no-mixed --no-discordant -X 2000 2> aligned/${s}.log \
| samtools view -@4 -bS -q 30 -f 2 - | samtools sort -@4 -o aligned/${s}.sorted.bam
samtools index aligned/${s}.sorted.bam
# Drop chrM BEFORE dedup/peaks (mito dominates ATAC), then dedup
samtools idxstats aligned/${s}.sorted.bam | cut -f1 | grep -v -e '^chrM$' -e '^MT$' \
| xargs samtools view -b aligned/${s}.sorted.bam > aligned/${s}.noMT.bam
samtools collate -@8 -O -u aligned/${s}.noMT.bam | samtools fixmate -m -u - - \
| samtools sort -@8 -u - | samtools markdup -r -@8 - aligned/${s}.dedup.bam
samtools index aligned/${s}.dedup.bam # alignmentSieve needs an indexed input BAM
# Tn5 +4/-5 shift ONCE
alignmentSieve -b aligned/${s}.dedup.bam -o aligned/${s}.shifted.bam --ATACshift -p 8
samtools index aligned/${s}.shifted.bam
# Remove ENCODE blacklist regions BEFORE calling (the made-once commitment above; see the example script)
# Everything downstream (peaks, counts, footprints) consumes ${s}.filt.bam, never ${s}.shifted.bam.
# NOTE: examples/atacseq_workflow.sh names its blacklist-FILTERED output `.shifted.bam`; same reads,
# different name. Match on the step, not the suffix.
bedtools intersect -v -a aligned/${s}.shifted.bam -b "$BLACKLIST" > aligned/${s}.filt.bam
samtools index aligned/${s}.filt.bam
# Cut-site calling on the shifted, blacklist-filtered reads (ONE mode; do NOT also use -f BAMPE with these flags)
macs3 callpeak -t aligned/${s}.filt.bam -f BAM -g hs -n ${s} --outdir peaks \
--nomodel --shift -75 --extsize 150 --keep-dup all -q 0.01For the ENCODE 4 IDR + pseudoreplicate pipeline and the Corces 501 bp iterative-overlap consensus, see atac-seq/atac-peak-calling and atac-seq/consensus-peakset.
Goal: compare accessibility across conditions on comparable intervals, then read TF activity.
Approach: count into the fixed-width consensus with DiffBind (or csaw), then run the TOBIAS three-step (ATACorrect -> ScoreBigwig -> BINDetect) for footprints.
library(DiffBind) # counts into the fixed-width consensus
dba <- dba(sampleSheet = samples) # bamReads = shifted BAMs, Peaks = per-sample narrowPeak
dba <- dba.count(dba) # use summits/consensus for uniform width
dba <- dba.normalize(dba); dba <- dba.contrast(dba, categories = DBA_CONDITION)
dba <- dba.analyze(dba); report <- dba.report(dba)# peaks/consensus.bed is the Corces 501 bp FIXED-WIDTH consensus from atac-seq/consensus-peakset (step 7).
# It is NOT peaks/consensus_peaks.narrowPeak, which is the variable-width pooled MACS3 call; build the
# fixed-width set first or these three commands have no input.
# TOBIAS three-step: bias-correct -> score -> detect bound motifs (differential across two conditions).
# Footprint on the BLACKLIST-FILTERED reads (${s}.filt.bam), the same reads MACS3 called peaks from --
# blacklist regions are artifact pileups, and bias-correcting over them corrupts the footprint scores.
TOBIAS ATACorrect -b aligned/${s}.filt.bam -g genome.fa -p peaks/consensus.bed --outdir foot --cores 8
TOBIAS ScoreBigwig --signal foot/${s}_corrected.bw --regions peaks/consensus.bed --output foot/${s}.bw --cores 8
TOBIAS BINDetect --motifs motifs.jaspar --signals foot/ctrl.bw foot/treat.bw --genome genome.fa \
--peaks peaks/consensus.bed --outdir foot/bindetect --cores 8| After | Gate | Interpretation |
|---|---|---|
| Alignment | Mapping >80%, mito <20% (Omni-ATAC lower) | High mito = suboptimal lysis; drop before calling |
| PRE-dedup | NRF >0.8, PBC1 >0.8 | Low complexity = over-amplification/low input; compute before dedup |
| Peaks | FRiP >0.2, TSS enrichment >5 (v3) | Low TSS/FRiP = over/under-digestion or degraded chromatin (atac-seq/atac-qc) |
| Fragment size | NFR <100 bp, mono ~200 bp, di ~400 bp periodicity | Loss of nucleosome periodicity = over-digestion (Tn5:DNA too high) |
| Consensus | Fixed-width (501 bp) built before counting | Variable-width peaks make counts non-comparable |
| Symptom | Cause | Fix |
|---|---|---|
| Depth/FRiP dominated by one contig; few real peaks | chrM not removed before calling | Drop chrM/MT before dedup and peak calling |
| Cut sites offset / footprints smeared | Tn5 shift applied twice, or -f BAMPE used with --shift/--extsize | Shift ONCE; pick ONE calling mode (cut-site -f BAM OR fragment -f BAMPE) |
| Differential counts not comparable across samples | Counted into variable-width MACS peaks | Build the Corces 501 bp fixed-width consensus first |
| Looked for an input/IgG track and found none | ATAC has no input control | Use the blacklist + shift-extend model as background; do not fabricate a control |
| QC numbers disagree with a reference | Mixed ENCODE v3 and v4 thresholds | Pick one ENCODE version and report which |
The complete runnable scripts are in this skill's examples/ (atacseq_workflow.sh, differential_atac.R).
© GPTomics, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files in workflows/atacseq-pipeline of GPTomics/bioSkills.
Open the folder on GitHubat commit d91ed3d
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in GPTomics/bioSkills, which our catalogue first saw on October 7, 2026.
Bio Workflows Atacseq Pipeline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Bio Workflows Atacseq Pipeline this skillGPTomics/bioSkills | 1.2k | 1 repos | ~4.1k | Automated safety check: Pass | MIT | |
| Bio Atac Seq Differential AccessibilityFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | — | ~1.8k | Automated safety check: Pass | None | |
| Best Practicestech-leads-club/agent-skills | 7k | — | ~3.2k | Automated safety check: Pass | MIT | |
| Salesforce Component Standardsgithub/awesome-copilot | 40k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Hot3dwu-yc/LabClaw | 1.1k | 1 repos | ~1.3k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Transilience Report Styletransilienceai/communitytools | 562 | — | ~6.3k | Automated safety check: Pass | MIT |
FreedomIntelligence/OpenClaw-Medical-Skills
Find differentially accessible chromatin regions between conditions using DiffBind or DESeq2.
tech-leads-club/agent-skills
Apply modern web development best practices for security, compatibility, and code quality.
github/awesome-copilot
Quality standards for Salesforce Lightning Web Components (LWC), Aura components, and Visualforce pages.
wu-yc/LabClaw
HOT3D (Hand-Object 3D Dataset) by Meta Facebook - multi-view egocentric hand and object 3D tracking for Aria/Quest smart glasses.
transilienceai/communitytools
Threat Intelligence Report Design System — ReportLab-based PDF generation for A4 reports with Transilience branding, typography, and layout standards.
forcedotcom/sf-skills
Use this skill as THE specialized Lightning Web Security (LWS) validator for a Lightning Web Component bundle (.js, .ts, .html, .css, .js-meta.xml) — the canonical LWS/Product-Security review for…
GPTomics/bioSkills
Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO.
GPTomics/bioSkills
Installs the bioSkills collection of 425 bioinformatics skills in one step, or only chosen categories, so sequencing, RNA-seq, single-cell and variant tasks get specialized help.
GPTomics/bioSkills
Write biological sequences to files (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO.
GPTomics/bioSkills
Soft- or hard-clips PCR primer footprints from aligned amplicon BAMs so primer bases stop masquerading as confirmed reference sequence.
GPTomics/bioSkills
Filters BAM alignments by FLAG bits, mapping quality and regions with samtools view or pysam, with recipes for common keep and drop cases.
GPTomics/bioSkills
Create and use BAI/CSI indices for BAM/CRAM files using samtools and pysam.
Orchestrates the end-to-end bulk ATAC-seq pipeline from FASTQ to differential accessibility and TF footprints, chaining Nextera-aware fastp QC, Bowtie2 alignment, chrM removal, dedup, a single Tn5…. Bio Workflows Atacseq Pipeline is an agent skill from GPTomics/bioSkills. Orchestrates the end-to-end bulk ATAC-seq pipeline from FASTQ to differential accessibility and TF footprints, chaining Nextera-aware fastp QC, Bowtie2 alignment, chrM removal, dedup, a single Tn5 +4/-5 shift, MACS3 peak calling, Corces fixed-width consensus, DiffBind/csaw differential accessibility, and TOBIAS footprinting.
Bio Workflows Atacseq Pipeline fits situations like: committing the reference build + blacklist once; recognizing ATAC has NO input control (the shift-extend model IS the background); applying the Tn5 shift exactly once (never combining -f BAMPE with --shift/--extsize); removing chrM before calling.
Run `npx skills add GPTomics/bioSkills --skill bio-workflows-atacseq-pipeline -a claude-code`. Or copy the skill folder (workflows/atacseq-pipeline in GPTomics/bioSkills) into .claude/skills/bio-workflows-atacseq-pipeline in your project. Claude Code loads it when a task matches its description.
Run `npx skills add GPTomics/bioSkills --skill bio-workflows-atacseq-pipeline -a codex`. Or copy the skill folder (workflows/atacseq-pipeline in GPTomics/bioSkills) into .agents/skills/bio-workflows-atacseq-pipeline in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GPTomics/bioSkills --skill bio-workflows-atacseq-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bio-workflows-atacseq-pipeline, .gemini/skills/bio-workflows-atacseq-pipeline, .github/skills/bio-workflows-atacseq-pipeline and .opencode/skills/bio-workflows-atacseq-pipeline in your project.
Going by SKILL.md and its folder, Bio Workflows Atacseq Pipeline needs a shell and R for the scripts in its folder. Our summary lists: A Bash shell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Bio Workflows Atacseq Pipeline is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.1k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Bio Workflows Atacseq Pipeline: Bio Atac Seq Differential Accessibility (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars), Best Practices (tech-leads-club/agent-skills, 7k stars), Salesforce Component Standards (github/awesome-copilot, 40k stars) and Hot3d (wu-yc/LabClaw, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
GPTomics (a GitHub organization) maintains it in GPTomics/bioSkills, which has 1,217 GitHub stars. The repository holds 559 skills in this directory. The repository was last updated on August 15, 2026.
Source: GPTomics/bioSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.