proteomics

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 175,000+ scientists worldwide. 163 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.

🧬 gget enables efficient querying of genomic reference databases

The codebase of the OpenMS project

Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

A collection of Galaxy-related training material

197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, single-cell, drug discovery, proteomics, and more. Powers OmicsHorizon.

A Python API for the RCSB Protein Data Bank (PDB)

Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs

A cross-platform proteomics data analysis suite

Proteomics search & quantification so fast that it feels like magic

Algorithm for ultra-scale multiple sequence alignments (3M protein sequences in 5 minutes and 24 GB of RAM)

A modular, python-based framework for mass spectrometry. Powered by nbdev.

Various teaching material

sensitive and precise assembly of short sequencing reads

A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.

Deep learning framework for proteomics

Olink R package: A collection of functions to facilitate analysis of proteomic data from Olink. The goal of this package is to help users extract biological insights from proteomic data run on the Olink platform.

Base Classes and Functions for Mass Spectrometry and Proteomics

Ultrafast, comprehensive peptide identification for mass spectrometry–based proteomics

PeptideProphet, PTMProphet, ProteinProphet, iProphet, Abacus, and FDR filtering