Agent skill · Data & Analytics

bio-proteomics-dia-analysis

Data-independent acquisition (DIA) proteomics analysis with DIA-NN and other tools. Covers library-free and library-based workflows for deep proteome profiling.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill dia-analysis-gptomics-bioskills --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/analysis/dia-analysis-gptomics-bioskills/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

# DIA Proteomics Analysis ## DIA-NN Library-Free Analysis ```bash # Library-free mode (generates library from data) diann \ --f sample1.mzML \ --f sample2.mzML \ --lib "" \ --threads 8 \ --verbose 1 \ --out report.tsv \ --qvalue 0.01 \ --matrices \ --out-lib generated_lib.tsv \ --gen-spec-lib \ --predictor \ --fasta uniprot_human.fasta \ --fasta-search \ --min-fr-mz 200 \ --max-fr-mz 1800 \ --met-excision \ --cut K*,R* \ --missed-cleavages 1 \ --min-pep-len 7 \ --max-pep-len 30 \ --min-pr-mz 300 \ --max-pr-mz 1800 \ --min-pr-charge 1 \ --max-pr-charge 4 \ --unimod4 \ --var-mods 1 \ --var-mod UniMod:35,15.994915,M \ --reanalyse \ --smart-profiling ``` ## DIA-NN with Spectral Library ```bash # Use pre-built or predicted library diann \ --f sample1.mzML \ --f sample2.mzML \ --lib spectral_library.tsv \ --threads 8 \ --verbose 1 \ --out report.tsv \ --qvalue 0.01 \ --matrices \ --reanalyse \ --smart-profiling ``` ## DIA-NN Output Files ``` report.tsv # Main quantification report (long format) report.stats.tsv # Run statistics report.pg_matrix.tsv # Protein group quantities (wide format) report.pr.matrix.tsv # Precursor quantities (wide format) report.gg_matrix.tsv # Gene group quantiti

What's inside
Steps it walks through
  1. DIA-NN Library-Free Analysis
  2. DIA-NN with Spectral Library
  3. DIA-NN Output Files
  4. Load DIA-NN Results in R
  5. Load DIA-NN Results in Python
  6. MSFragger-DIA Analysis
  7. Spectronaut Export Processing
  8. DIA Quality Metrics
  9. Match Between Runs
  10. DIA vs DDA Comparison
  11. Related Skills
Ships with 1 file
  • metadata.json
Commands it runs
Library-free mode (generates library from data)
diann \
Use pre-built or predicted library
MSFragger for DIA (alternative to DIA-NN)
Requires FragPipe GUI or command-line workflow
Generate predicted library with EasyPQP
easypqp library \
Convert to DIA-NN format
easypqp convert \
DIA-NN MBR is automatic with --reanalyse flag
More from claude-skill-registry
All skills →
About this skill
What does the bio-proteomics-dia-analysis skill do?

Data-independent acquisition (DIA) proteomics analysis with DIA-NN and other tools. Covers library-free and library-based workflows for deep proteome profiling.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill dia-analysis-gptomics-bioskills --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 majiayu000/claude-skill-registry, a repository with 534 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.

Keep going