Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, 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

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)

Various teaching material

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

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.

sensitive and precise assembly of short sequencing reads

Deep learning framework for proteomics

Base Classes and Functions for Mass Spectrometry and Proteomics

Ultrafast, comprehensive peptide identification for mass spectrometry–based 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.

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

modular & open DIA search