Alphagenome Single Variant Analysis
google-deepmind/science-skills
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.
Aligns DNA short reads to a reference with Bowtie2, choosing end-to-end (whole read must align) vs local (soft-clip read ends) mode and a sensitivity preset; the de-facto aligner for ChIP-seq…
$ npx skills add GPTomics/bioSkills --skill bio-read-alignment-bowtie2-alignment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GPTomics/bioSkills bio-read-alignment-bowtie2-alignment --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/read-alignment/bowtie2-alignment .claude/skills/bio-read-alignment-bowtie2-alignment && 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-read-alignment-bowtie2-alignment" agent skill from https://github.com/GPTomics/bioSkills/tree/main/read-alignment/bowtie2-alignment into .claude/skills/bio-read-alignment-bowtie2-alignment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-read-alignment-bowtie2-alignment", 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/read-alignment/bowtie2-alignmentType 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-read-alignment-bowtie2-alignment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GPTomics/bioSkills bio-read-alignment-bowtie2-alignment --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/read-alignment/bowtie2-alignment .agents/skills/bio-read-alignment-bowtie2-alignment && 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-read-alignment-bowtie2-alignment" agent skill from https://github.com/GPTomics/bioSkills/tree/main/read-alignment/bowtie2-alignment into .agents/skills/bio-read-alignment-bowtie2-alignment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-read-alignment-bowtie2-alignment", 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-read-alignment-bowtie2-alignment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GPTomics/bioSkills bio-read-alignment-bowtie2-alignment --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/read-alignment/bowtie2-alignment .cursor/skills/bio-read-alignment-bowtie2-alignment && 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-read-alignment-bowtie2-alignment" agent skill from https://github.com/GPTomics/bioSkills/tree/main/read-alignment/bowtie2-alignment into .cursor/skills/bio-read-alignment-bowtie2-alignment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-read-alignment-bowtie2-alignment", 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 read-alignment/bowtie2-alignment--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-read-alignment-bowtie2-alignment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GPTomics/bioSkills bio-read-alignment-bowtie2-alignment --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/read-alignment/bowtie2-alignment .gemini/skills/bio-read-alignment-bowtie2-alignment && 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-read-alignment-bowtie2-alignment" agent skill from https://github.com/GPTomics/bioSkills/tree/main/read-alignment/bowtie2-alignment into .gemini/skills/bio-read-alignment-bowtie2-alignment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-read-alignment-bowtie2-alignment", 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-read-alignment-bowtie2-alignmentInstalls 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-read-alignment-bowtie2-alignment -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/read-alignment/bowtie2-alignment .github/skills/bio-read-alignment-bowtie2-alignment && 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-read-alignment-bowtie2-alignment" agent skill from https://github.com/GPTomics/bioSkills/tree/main/read-alignment/bowtie2-alignment into .github/skills/bio-read-alignment-bowtie2-alignment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-read-alignment-bowtie2-alignment", 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-read-alignment-bowtie2-alignment -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-read-alignment-bowtie2-alignment --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/read-alignment/bowtie2-alignment .opencode/skills/bio-read-alignment-bowtie2-alignment && 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-read-alignment-bowtie2-alignment" agent skill from https://github.com/GPTomics/bioSkills/tree/main/read-alignment/bowtie2-alignment into .opencode/skills/bio-read-alignment-bowtie2-alignment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-read-alignment-bowtie2-alignment", 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-read-alignment-bowtie2-alignmentAligns DNA short reads to a reference with Bowtie2, choosing end-to-end (whole read must align) vs local (soft-clip read ends) mode and a sensitivity preset; the de-facto aligner for ChIP-seq…
Bio Read Alignment Bowtie2 Alignment is an agent skill from GPTomics/bioSkills. Aligns DNA short reads to a reference with Bowtie2, choosing end-to-end (whole read must align) vs local (soft-clip read ends) mode and a sensitivity preset; the de-facto aligner for ChIP-seq, ATAC-seq, and CUT&RUN, where fragment-geometry flags (--no-mixed, --no-discordant, --dovetail, -X) and a tool-appropriate MAPQ filter feed the peak caller. Use when aligning ChIP/ATAC/CUT&RUN reads, when read ends are adapter-contaminated and need soft-clipping, or when a tunable sensitivity/speed preset is wanted. DNA…
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `examples/align_bowtie2.sh` and `usage-guide.md`).
It sits in Research & Science, covering Bioinformatics. The repository describes itself as: a set of SKILLS.md for doing bioinformatics with agents like claude code. The licence is MIT.
3 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), 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 Read Alignment Bowtie2 Alignment loads about 3.6k tokens when it runs. Until then it costs about 199 tokens; SKILL.md has 1,377 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). 1,377 words, ~3,569 tokens.
.claude/skills/bio-read-alignment-bowtie2-alignment/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Reference examples tested with: bowtie2 2.5+, samtools 1.19+
Before using code patterns, verify installed versions match. If versions differ:
<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.
"Align my ChIP-seq / ATAC-seq reads" -> Map short reads with Bowtie2, choosing whether the entire read must align (end-to-end) or read ends may be soft-clipped (local), and which fragment-geometry flags to set -- because for peak assays the mode, the preset, and the --no-mixed/--dovetail/-X flags determine the fragment coordinates the peak caller actually sees.
bowtie2 -p 8 -x index -1 R1.fq.gz -2 R2.fq.gz | samtools sort -o aligned.bam -Scope: DNA short-read mapping with Bowtie2 and the mode/preset/geometry choices that matter for ChIP/ATAC/CUT&RUN. Contig naming, the QC gate, and the cross-tool MAPQ scale -> alignment-files (bam-statistics / sam-bam-basics). Peak calling and the ATAC Tn5 cut-site shift -> chip-seq, atac-seq. BAM sort/dedup/stats -> alignment-files. Read trimming -> read-qc. OUT OF SCOPE: DNA variant calling (prefer bwa-alignment), RNA (star-alignment/hisat2-alignment), bisulfite (methylation-analysis/bismark-alignment -- Bismark wraps Bowtie2 internally, do not call Bowtie2 directly for WGBS).
--local soft-clips untrustworthy read ends to maximize score (positive match bonus) -- correct when read ends are junk: adapter read-through, the short fragments and frequent adapter contamination of ATAC-seq, or amplicon primer ends. Using end-to-end on adapter-contaminated reads mis-penalizes the good core and depresses the alignment rate; the fix is to trim first or use --local.MAPQ >= 30 filter (the ENCODE ChIP/ATAC convention to drop multimappers) is fine, but a BWA-style MAPQ >= 60 "uniquely mapped" filter copied from a DNA-variant pipeline discards every Bowtie2 read. Always tune the MAPQ threshold to the aligner -- see alignment-files/sam-bam-basics for the full cross-tool table.--no-mixed --no-discordant restrict to concordant proper pairs; -X 2000 widens the allowed fragment length for ATAC's nucleosome-spanning fragments; --dovetail lets short-fragment pairs whose mates extend past each other still count as concordant (by default such pairs are not concordant and are dropped once --no-mixed/--no-discordant are set). These flags, not the core alignment, are what make the downstream peak set correct.| Mode / tool | Citation | Mechanism / role | When |
|---|---|---|---|
Bowtie2 --end-to-end (default) | Langmead & Salzberg 2012 Nat Methods 9:357 | whole read must align; no soft-clipping; scores <= 0 | clean genomic DNA, ChIP-seq on trimmed reads |
Bowtie2 --local | Langmead & Salzberg 2012 | soft-clips read ends; positive match bonus | adapter read-through, ATAC-seq, amplicon ends |
| Sensitivity presets | Langmead & Salzberg 2012 | preset expansions of -D/-R/-N/-L/-i | trade speed vs sensitivity predictably |
| bwa-mem2 | Vasimuddin 2019 IEEE IPDPS | seed-and-extend; ALT/decoy-aware | DNA variant calling instead (route OUT) -> bwa-alignment |
| Bismark (wraps Bowtie2) | Krueger & Andrews 2011 Bioinformatics 27:1571 | 3-letter C->T-aware mapping engine | bisulfite/WGBS (route OUT) -> methylation-analysis/bismark-alignment |
| STAR / HISAT2 | -- | splice-aware (route OUT) | any RNA library -> star-alignment, hisat2-alignment |
| Scenario | Recommended | Why |
|---|---|---|
| ChIP-seq, trimmed reads | --very-sensitive --no-mixed --no-discordant, end-to-end, then -q 30 | clean reads align fully; drop singletons/discordants and multimappers for peak calling |
| CUT&RUN / CUT&Tag | --very-sensitive --local --dovetail --no-mixed --no-discordant -I 10 -X 700 | sub-nucleosomal short fragments (like ATAC); the E. coli carry-over reads are the spike-in normalizer, so align them (do not discard as contamination) -> chip-seq |
| ATAC-seq | --very-sensitive --local --dovetail -X 2000 --no-mixed --no-discordant | soft-clip adapter read-through; admit nucleosome-spanning and dovetailed short fragments |
| Reads with adapter read-through (untrimmed) | --local (or trim first) | end-to-end mis-penalizes contaminated ends |
| Need maximum sensitivity on divergent data | --very-sensitive (or -N 1) | more seed-extension attempts / a seed mismatch allowed |
| Multi-mapping analysis | -k <N> or -a | report multiple/all alignments (MAPQ unreliable in -k mode) |
| DNA variant calling | route OUT to bwa-alignment | bwa-mem2 is the variant-calling community default |
| RNA-seq | route OUT to star-alignment / hisat2-alignment | spliced reads need an N-CIGAR aligner |
Default when uncertain: --very-sensitive end-to-end with --no-mixed --no-discordant for ChIP; switch to --local --dovetail -X 2000 for ATAC; filter -q 30 to drop multimappers.
bowtie2-build --threads 8 reference.fa reference_index
# emits reference_index.{1,2,3,4}.bt2 and .rev.{1,2}.bt2. Pass the BASENAME (reference_index) to -x, NOT a file.# Paired-end, streamed to a sorted BAM. Bowtie2 prints the alignment summary to stderr.
bowtie2 -p 8 -x reference_index -1 reads_1.fq.gz -2 reads_2.fq.gz 2> align.log | \
samtools sort -@ 4 -o aligned.sorted.bam -
samtools index aligned.sorted.bam
# single-end: -U reads.fq.gz instead of -1/-2.bowtie2 -p 8 --very-sensitive --no-mixed --no-discordant \
--rg-id sample1 --rg SM:sample1 --rg PL:ILLUMINA --rg LB:lib1 \
-x reference_index -1 chip_1.fq.gz -2 chip_2.fq.gz 2> chip.log | \
samtools view -bS -q 30 -F 1804 - | \
samtools sort -@ 4 -o chip.bam -
# -q 30 drops multimappers (Bowtie2 scale: max 42 e2e); -F 1804 removes unmapped/secondary/dup/QC-fail.# Local mode + dovetail + wide -X for adapter read-through and nucleosome-spanning short fragments.
bowtie2 -p 8 --very-sensitive --local --dovetail -X 2000 --no-mixed --no-discordant \
-x reference_index -1 atac_1.fq.gz -2 atac_2.fq.gz 2> atac.log | \
samtools view -bS -q 30 -F 1804 - | \
samtools sort -@ 4 -o atac.bam -
# The Tn5 +4/-5 cut-site shift is a DOWNSTREAM signal-track transform, not done here -> atac-seq.bowtie2 --very-fast -x index -1 r1.fq -2 r2.fq # -D 5 -R 1 -N 0 -L 22 -i S,0,2.50
bowtie2 --sensitive -x index -1 r1.fq -2 r2.fq # -D 15 -R 2 -N 0 -L 22 -i S,1,1.15 (DEFAULT)
bowtie2 --very-sensitive -x index -1 r1.fq -2 r2.fq # -D 20 -R 3 -N 0 -L 20 -i S,1,0.50
# Append -local for the local-mode presets (e.g. --very-sensitive-local). Higher -D/-R/shorter -L = more sensitive, slower.bowtie2 -k 5 -x index -1 r1.fq -2 r2.fq -S out.sam # up to 5 alignments/read (MAPQ unreliable in -k)
bowtie2 -a -x index -1 r1.fq -2 r2.fq -S out.sam # ALL alignments (slow on repetitive genomes)
bowtie2 --un-conc-gz unmapped_%.fq.gz -x index -1 r1.fq.gz -2 r2.fq.gz -S out.sam # save unaligned pairs| Parameter | Default | Description |
|---|---|---|
| -x | -- | index BASENAME (not a filename) |
| -1 / -2 / -U | -- | paired / single-end reads |
| --end-to-end / --local | end-to-end | whole-read vs soft-clipped alignment |
| -I / -X | 0 / 500 | min / max fragment length for a concordant pair |
| --no-mixed / --no-discordant | off | suppress singleton / discordant alignments |
| --dovetail | off | treat mate-overrun pairs as concordant (short-fragment ATAC) |
| -N | 0 | mismatches allowed in a seed (0 or 1; 1 is slower, more sensitive) |
| -L | 22 (e2e) / 20 (local) | seed length |
| -k / -a | off | report up to k / all alignments |
| --rg-id / --rg | -- | read-group id / fields |
Trigger: untrimmed reads with adapter read-through aligned in default end-to-end mode. Mechanism: the contaminated 3' end forces mismatches the whole-read alignment cannot escape. Symptom: depressed alignment rate, lost reads at fragment ends. Fix: trim first (-> read-qc) or use --local to soft-clip the junk ends.
Trigger: a MAPQ >= 60 "uniquely mapped" filter applied to Bowtie2 output. Mechanism: Bowtie2 caps at 42 (e2e) / 44 (local). Symptom: an empty BAM. Fix: use a tool-appropriate threshold (-q 30 drops multimappers) -> alignment-files/sam-bam-basics.
Trigger: ATAC alignment without --dovetail (and a too-tight -X). Mechanism: very short fragments produce mates that extend past each other, which default Bowtie2 does not count as concordant. Symptom: many real short-fragment pairs dropped by a --no-mixed/--no-discordant filter. Fix: add --dovetail and widen -X 2000.
Trigger: -x reference_index.1.bt2 (a file) instead of the basename. Mechanism: -x expects the index basename. Symptom: "Could not locate a Bowtie index" error. Fix: pass the basename (-x reference_index).
Trigger: aligning WGBS reads with plain Bowtie2. Mechanism: bisulfite converts C->T, breaking 4-letter matching. Symptom: very low alignment rate, strand-biased mismatches. Fix: use Bismark, which wraps Bowtie2 with C->T-aware mapping -> methylation-analysis/bismark-alignment.
| Threshold | Source | Rationale |
|---|---|---|
| MAPQ cap 42 (end-to-end) / 44 (local) | Bowtie2 source (unique.h) | the scale never reaches BWA's 60; tune filters per aligner |
-q 30 for ChIP/ATAC | ENCODE peak-assay convention | drops multimappers from repeats before peak calling |
| -X 500 default, -X 2000 for ATAC | Bowtie2 manual | ATAC fragments span nucleosomes; the default cap flags them discordant |
default preset --sensitive (-D15 -R2 -N0 -L22) | Bowtie2 manual | balanced speed/sensitivity; --very-sensitive for divergent/peak data |
| -F 1804 in ChIP filtering | ENCODE convention | removes unmapped + mate-unmapped + secondary + duplicate + QC-fail |
| Error / symptom | Cause | Solution |
|---|---|---|
| "Could not locate a Bowtie index" | -x given a file, not the basename | pass the index basename to -x |
| Empty BAM after MAPQ filter | BWA-style -q 60 on a 42/44-capped scale | use -q 30 (Bowtie2 scale) -> alignment-files/sam-bam-basics |
| Low alignment rate | adapter read-through, wrong reference, contamination | trim (-> read-qc) or --local; verify the reference; confirm species -> read-qc/contamination-screening |
| Many ATAC pairs dropped as discordant | missing --dovetail, too-tight -X | add --dovetail -X 2000 |
| Very low rate on bisulfite reads | plain Bowtie2 on WGBS | use Bismark -> methylation-analysis/bismark-alignment |
© 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 2 other files in read-alignment/bowtie2-alignment 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 Read Alignment Bowtie2 Alignment 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 Read Alignment Bowtie2 Alignment this skillGPTomics/bioSkills | 1.2k | 1 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Alphagenome Single Variant Analysisgoogle-deepmind/science-skills | 3.2k | 2 repos | ~3k | Automated safety check: Notes | Apache-2.0 | |
| 13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Clinvar Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.9k | Automated safety check: Notes | Apache-2.0 | |
| Metabolic Study Planneraiming-lab/AutoResearchClaw | 15k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Dbsnp Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.4k | Automated safety check: Notes | Apache-2.0 |
google-deepmind/science-skills
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.
K-Dense-AI/scientific-agent-skills
Estimates reaction fluxes inside cells from steady-state carbon-13 labeling data with a bundled mfapy-based solver, and reports which fluxes the data pin down.
google-deepmind/science-skills
A skill your agent uses when needing clinical significance, pathogenicity classifications (e.g., Pathogenic, Benign, VUS), clinical evidence rationales, or finding "hard positive" benchmark controls…
aiming-lab/AutoResearchClaw
Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.
google-deepmind/science-skills
A skill your agent uses when you want to look up, map, and search for short genetic variants (SNPs, indels) in NCBI's dbSNP database.
aiming-lab/AutoResearchClaw
Runs a metabolic flux analysis from model loading to phenotype prediction and figures by handing work to four sub-agents in sequence.
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.
Categories
Aligns DNA short reads to a reference with Bowtie2, choosing end-to-end (whole read must align) vs local (soft-clip read ends) mode and a sensitivity preset; the de-facto aligner for ChIP-seq…. Bio Read Alignment Bowtie2 Alignment is an agent skill from GPTomics/bioSkills. Aligns DNA short reads to a reference with Bowtie2, choosing end-to-end (whole read must align) vs local (soft-clip read ends) mode and a sensitivity preset; the de-facto aligner for ChIP-seq, ATAC-seq, and CUT&RUN, where fragment-geometry flags (--no-mixed, --no-discordant, --dovetail, -X) and a tool-appropriate MAPQ filter feed the peak caller.
Bio Read Alignment Bowtie2 Alignment fits situations like: aligning ChIP/ATAC/CUT&RUN reads; read ends are adapter-contaminated and need soft-clipping; A tunable sensitivity/speed preset is wanted.
Run `npx skills add GPTomics/bioSkills --skill bio-read-alignment-bowtie2-alignment -a claude-code`. Or copy the skill folder (read-alignment/bowtie2-alignment in GPTomics/bioSkills) into .claude/skills/bio-read-alignment-bowtie2-alignment in your project. Claude Code loads it when a task matches its description.
Run `npx skills add GPTomics/bioSkills --skill bio-read-alignment-bowtie2-alignment -a codex`. Or copy the skill folder (read-alignment/bowtie2-alignment in GPTomics/bioSkills) into .agents/skills/bio-read-alignment-bowtie2-alignment 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-read-alignment-bowtie2-alignment -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-read-alignment-bowtie2-alignment, .gemini/skills/bio-read-alignment-bowtie2-alignment, .github/skills/bio-read-alignment-bowtie2-alignment and .opencode/skills/bio-read-alignment-bowtie2-alignment in your project.
Going by SKILL.md and its folder, Bio Read Alignment Bowtie2 Alignment needs a shell 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 Read Alignment Bowtie2 Alignment is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 14k 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 Read Alignment Bowtie2 Alignment: Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars), Clinvar Database (google-deepmind/science-skills, 3.2k stars) and Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k 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.