# MannLabs

> Open-source publisher. Listings imported from github.com/MannLabs — credited to the original author with their license.

- **Listings:** 11
- **Total installs:** 0
- **Profile:** https://agentstack.voostack.com/s/mannlabs
- **Website:** https://github.com/MannLabs

## Published listings

- [Performing Statistical Analysis](https://agentstack.voostack.com/l/skill-mannlabs-proteomics-agent-skills-performing-statistical-analysis) — Skill · Free · security-reviewed — `agentstack add skill-mannlabs-proteomics-agent-skills-performing-statistical-analysis`
  Perform differential expression analysis on preprocessed proteomics data. Use this when performing finding testing (t-tests, ANOVA) to identify regulated proteins, and multiple testing correction (FDR). Generates standard visualizations like Volcano plots.
- [Using Proteomics Skills](https://agentstack.voostack.com/l/skill-mannlabs-proteomics-agent-skills-using-proteomics-skills) — Skill · Free · security-reviewed — `agentstack add skill-mannlabs-proteomics-agent-skills-using-proteomics-skills`
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- [Correcting Proteomics Batch Effects](https://agentstack.voostack.com/l/skill-mannlabs-proteomics-agent-skills-correcting-proteomics-batch-effects) — Skill · Free · security-reviewed — `agentstack add skill-mannlabs-proteomics-agent-skills-correcting-proteomics-batch-effects`
  Evaluate and correct batch effects in proteomics data. Use when (1) assessing if batch effect, technical variation, plate effects, or instrument drift in proteomics context is present and batch correction is needed, (2) applying batch correction algorithms, (3) validating batch correction results.
- [Formulating Biological Findings](https://agentstack.voostack.com/l/skill-mannlabs-proteomics-agent-skills-formulating-biological-findings) — Skill · Free · security-reviewed — `agentstack add skill-mannlabs-proteomics-agent-skills-formulating-biological-findings`
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- [Applying Code Standards](https://agentstack.voostack.com/l/skill-mannlabs-proteomics-agent-skills-applying-code-standards) — Skill · Free · security-reviewed — `agentstack add skill-mannlabs-proteomics-agent-skills-applying-code-standards`
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- [Imputing Proteomics Data](https://agentstack.voostack.com/l/skill-mannlabs-proteomics-agent-skills-imputing-proteomics-data) — Skill · Free · security-reviewed — `agentstack add skill-mannlabs-proteomics-agent-skills-imputing-proteomics-data`
  Impute missing values in protein-level proteomics data matrices. Use when (1) preparing proteomics data for downstream analyses requiring complete matrices (PCA, batch correction), (2) evaluating whether imputation is needed, (3) selecting appropriate imputation methods, or (4) assessing imputation quality. Does NOT cover normalization or batch correction.
- [Reading Proteomics Data](https://agentstack.voostack.com/l/skill-mannlabs-proteomics-agent-skills-reading-proteomics-data) — Skill · Free · security-reviewed — `agentstack add skill-mannlabs-proteomics-agent-skills-reading-proteomics-data`
  Read proteomics search engine outputs (PSM tables, protein matrices) from search engines like DIA-NN, MaxQuant, Spectronaut, AlphaDIA, MSFragger, Sage. Use for ingesting data, mapping columns to standard names, and initial filtering.
- [Analyzing Proteomics Data](https://agentstack.voostack.com/l/skill-mannlabs-proteomics-agent-skills-analyzing-proteomics-data) — Skill · Free · security-reviewed — `agentstack add skill-mannlabs-proteomics-agent-skills-analyzing-proteomics-data`
  Analyze proteomics search engine outputs using alphapepttools with AnnData. Use when (1) analyzing proteomics data from DIA-NN, AlphaDIA, Spectronaut, MaxQuant, or other search engines, (2) quality control and preprocessing of protein/peptide abundance matrices, (3) performing differential expression analysis on proteomics data, (4) visualizing proteomics results, (5) ALWAYS use alphapepttools ov…
- [Performing Proteomics Quality Control](https://agentstack.voostack.com/l/skill-mannlabs-proteomics-agent-skills-performing-proteomics-quality-control) — Skill · Free · security-reviewed — `agentstack add skill-mannlabs-proteomics-agent-skills-performing-proteomics-quality-control`
  Perform quality control for protein-level proteomics data. Use when filtering outlier samples or low-evidence features before downstream analysis. Covers PSM artifact removal, sample QC, feature-level filtering. Does NOT cover normalization, batch correction, or imputation.
- [Interpreting Biological Results](https://agentstack.voostack.com/l/skill-mannlabs-proteomics-agent-skills-interpreting-biological-results) — Skill · Free · security-reviewed — `agentstack add skill-mannlabs-proteomics-agent-skills-interpreting-biological-results`
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- [Normalizing Proteomics Data](https://agentstack.voostack.com/l/skill-mannlabs-proteomics-agent-skills-normalizing-proteomics-data) — Skill · Free · security-reviewed — `agentstack add skill-mannlabs-proteomics-agent-skills-normalizing-proteomics-data`
  Evaluate the need for and perform normalization of protein-level proteomics intensity data. Use when (1) assessing whether normalization is needed, (2) selecting normalization methods, (3) applying it. Does NOT cover batch correction or imputation

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Seller on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Install any with `agentstack add <slug>`.