Agent skill · Data & Analytics

bio-proteomics-dia-analysis

Data-independent acquisition (DIA) proteomics analysis with DIA-NN and other tools. Use when analyzing DIA mass spectrometry data with library-free or library-based workflows for deep proteome profiling.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-proteomics-dia-analysis --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 7 KB
Bundled scripts: yes
Path: skills/bio-proteomics-dia-analysis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

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

From the SKILL.md

## Version Compatibility Reference examples tested with: numpy 1.26+, pandas 2.2+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters - CLI: `<tool> --version` then `<tool> --help` to confirm flags If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # DIA Proteomics Analysis **"Analyze my DIA proteomics data"** → Process data-independent acquisition MS data to identify and quantify proteins using library-free or library-based workflows. - CLI: `diann` for end-to-end DIA analysis with neural network scoring - CLI: `EncyclopeDIA` for chromatogram library-based quantification ## DIA-NN Library-Free Analysis **Goal:** Run DIA proteomics analysis without a pre-built spectral library, generating one from the data itself. **Approach:** Use DIA-NN in library-free mode with FASTA-based in silico digestion and deep learning prediction. ```bash # Library-free mode (generates library from data) diann \ --f sa

What's inside
Steps it walks through
  1. Version Compatibility
  2. DIA-NN Library-Free Analysis
  3. DIA-NN with Spectral Library
  4. DIA-NN Output Files
  5. Load DIA-NN Results in R
  6. Load DIA-NN Results in Python
  7. MSFragger-DIA Analysis
  8. Spectronaut Export Processing
  9. DIA Quality Metrics
  10. Match Between Runs
  11. DIA vs DDA Comparison
  12. Related Skills
Ships with 2 files
  • examples/diann_analysis.sh
  • usage-guide.md
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 OpenClaw-Medical-Skills
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. Use when analyzing DIA mass spectrometry data with library-free or library-based workflows for deep proteome profiling.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-proteomics-dia-analysis --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 FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 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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