A set of ready to use scientific skills for Claude
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Updated
Nov 27, 2025 - Python
A set of ready to use scientific skills for Claude
🧬 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.
sensitive and precise assembly of short sequencing reads
Base Classes and Functions for Mass Spectrometry and Proteomics
Deep learning framework for 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
The Proteomics sample metadata: Standard for experimental design annotation in proteomics datasets
Using R and Bioconductor packages for the analysis and comprehension of proteomics data.
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