There are 30 repositories under proteomics topic.
Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs
A Python API for the RCSB Protein Data Bank (PDB)
A collection of Galaxy-related training material
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Various teaching material
A cross-platform Graphical User Interface (GUI) for running MSFragger and Philosopher - powered pipeline for comprehensive analysis of shotgun proteomics data
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
PeptideProphet, PTMProphet, ProteinProphet, iProphet, Abacus, and FDR filtering
Deep learning framework for proteomics
Ultrafast, comprehensive peptide identification for mass spectrometry–based proteomics
A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences
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.
Using R and Bioconductor packages for the analysis and comprehension of proteomics data.
The Proteomics Experimental Design file format: Standard for experimental design annotation
An open-source Python package for the visual annotation of proteomics data with sequence specific knowledge.
Toolbox for including enzyme constraints on a genome-scale model.
Structural Bioinformatics is awesome. Throw your textbook in the garbage, light the garbage can on fire, and blend the ashes into your cold brew almond milk latte and read this.
A deep learning toolkit for mass spectrometry
COSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.
Python Package for the downstream analysis of mass-spectrometry-based proteomics data
Prize-Collecting Steiner Forests for Interactomes
Deep (Transfer) Learning for Peptide Retention Time Prediction
Interpretation of proteomics identification results
Ursgal - universal Python module combining common bottom-up proteomics tools for large-scale analysis
Community-curated tutorials and datasets for ML in proteomics