30 tagged proteomics, measured the same way as everything else here.
Browse within: metadata 16metadata-extraction 16proteomics-sample-metadata 16sdrf 16
BioTender-max/awesome-bio-agent-skills
Skill Claude CodeCodex
Discover and invoke 1,676 deduplicated biomedical AI agent skills from the Awesome Bio Agent Skills repository (20 source repos, 15 categories). Use this skill as a router whenever a user needs a bioinformatics/biomedical task (genomics, transcriptomics, single-cell, proteomics, protein design, clinical, epigenomics…
Skill Claude CodeCodex
Use when the user wants to create or annotate an SDRF file for a proteomics dataset. Also use to plan what metadata to capture and discuss experimental design/strategy before creating the file. Triggers on PXD accessions, requests to create SDRF, planning/strategy questions, or annotation tasks.
Skill Claude CodeCodex
Use when the user asks about the SDRF format, column naming rules, ontology mappings, modification format, reserved words, label types, or any SDRF specification question, wants a plain-language explanation of a column/error/concept, or needs to find/verify/compare ontology terms and accessions for a column. Also…
Skill Claude CodeCodex
Use when the user needs to screen or shortlist proteomics studies from PRIDE, MassIVE, or ProteomeXchange accessions, or from a manifest, using detailed user-defined inclusion/exclusion criteria — run this before sdrf:autoresearch; extract study-level metadata from repository records and publications; and write an…
MannLabs/proteomics-agent-skills
Skill Claude CodeCodex
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…
MannLabs/proteomics-agent-skills
Skill Claude CodeCodex
Interpret biological results from omics analyses. Use when (1) performing overrepresentation analysis (ORA) on significant gene/protein lists, (2) running gene set enrichment analysis (GSEA) on ranked features, (3) querying STRING/UniProt for protein function, or (4) annotating clusters with pathway information.
MannLabs/proteomics-agent-skills
Skill Claude CodeCodex
Meta-skill for discovering, orchestrating, and sequencing proteomics analysis skills (reading, QC, preprocessing, statistics, interpretation, findings). Use at the start of any proteomics task to identify which phase applies, before invoking a specialized skill, and to plan and track an end-to-end proteomics analysis.