A collection of Galaxy-related training material
-
Updated
May 10, 2024 - HTML
A collection of Galaxy-related training material
The codebase of the OpenMS project
The Proteomics Experimental Design file format: Standard for experimental design annotation
Various teaching material
A Python API for the RCSB Protein Data Bank (PDB)
Toolbox for Studying Bacteria, Archaea, and Complex Taxons
Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs
Base Classes and Functions for Mass Spectrometry and Proteomics
Toolbox for including enzyme constraints on a genome-scale model.
Proteomics search & quantification so fast that it feels like magic
A cross-platform Graphical User Interface (GUI) for running MSFragger and Philosopher - powered pipeline for comprehensive analysis of shotgun proteomics data
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Using R and Bioconductor packages for the analysis and comprehension of proteomics data.
Ursgal - universal Python module combining common bottom-up proteomics tools for large-scale analysis
Genomic and Proteomic data exploration and pattern mining
A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences
Quantitative mass spectrometry workflow. Currently supports proteomics experiments with complex experimental designs for DDA-LFQ, DDA-Isobaric and DIA-LFQ quantification.
A modular, python-based framework for mass spectrometry. Powered by nbdev.
pDeep: Predicting MS/MS Spectra of Peptides with Deep Learning
Algorithm for ultra-scale multiple sequence alignments (3M protein sequences in 5 minutes and 24 GB of RAM)
Add a description, image, and links to the proteomics topic page so that developers can more easily learn about it.
To associate your repository with the proteomics topic, visit your repo's landing page and select "manage topics."