The codebase of the OpenMS project

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

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

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

A collection of Galaxy-related training material

Proteomics search & quantification so fast that it feels like magic

A cross-platform proteomics data analysis suite

Various teaching material

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

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

sensitive and precise assembly of short sequencing reads

Base Classes and Functions for Mass Spectrometry and Proteomics

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

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.

A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences

Using R and Bioconductor packages for the analysis and comprehension of proteomics data.

The Proteomics sample metadata: Standard for experimental design annotation in proteomics datasets

An open-source Python package for the visual annotation of proteomics data with sequence specific knowledge.