Agent skill

bio-protein-clustering-pangenome

Cluster proteins into orthogroups and derive pangenome matrices.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill bio-protein-clustering-pangenome --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 11
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/omics/bio-protein-clustering-pangenome/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Bio Protein Clustering Pangenome Cluster proteins into orthogroups and derive pangenome matrices. ## Instructions 1. Cluster proteins. Choose the tool by dataset size and goal: - Default for orthology inference up to a few hundred genomes: **OrthoFinder v3** (improved accuracy and lower RAM at scale, supports MSA-based gene trees; supersedes OrthoFinder v2 and OrthoMCL workflows). - Very large pangenomes where OrthoFinder is too RAM-heavy: **ProteinOrtho v6.1.7+** as the fast, scalable alternative. - Sequence clustering (not strict orthology) and similarity search backbones: **MMseqs2** v15-6f452+. Enable GPU mode (`mmseqs ... --gpu`) on CUDA Turing+ nodes for a ~20× speedup at near-identical sensitivity. 2. Build presence/absence matrix AND an integer copy-number matrix (orthogroup × genome) covering the query AND the close relatives produced by `/bio-phylogenomics`. 3. Compute core/accessory/cloud/singleton partitions. 4. Identify single-copy orthologs for phylogenetic analysis. 5. Discriminate paralogs from orthologs in multi-copy gene families. 6. Calculate pangenome statistics (completeness, orthogroup occupancy). 7. When a query genome or genome set is under study, use the

What's inside
Steps it walks through
  1. Instructions
  2. Quick Reference
  3. Input Requirements
  4. Output
  5. Quality Gates
  6. Examples
  7. Example 1: Expected input layout
  8. Troubleshooting
Ships with 10 files
  • docs/README.md
  • docs/mmseqs2.md
  • docs/orthofinder.md
  • docs/proteinortho.md
  • references.md
  • summaries/2023-clustering-predicted-structures-nature.md
  • summaries/2023-protein-fragments-natcomms.md
  • summaries/2023-proteinortho6-bmc.md
  • summaries/2024-protein-embedding-clustering-natcomms.md
  • summaries/README.md
More from awesome-bio-agent-skills
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About this skill
What does the bio-protein-clustering-pangenome skill do?

Cluster proteins into orthogroups and derive pangenome matrices.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill bio-protein-clustering-pangenome --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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