Computational Omics and Systems Biology Group
Grow your team on GitHub
GitHub is home to over 50 million developers working together. Join them to grow your own development teams, manage permissions, and collaborate on projects.
Sign up
Pinned repositories
Repositories
-
compomics-utilities
Open source Java library for computational proteomics
-
compomics.github.io
Compomics github website.
-
searchgui
Highly adaptable common interface for proteomics search and de novo engines
-
COSLiB
CompOmics spectral library builder.
-
peptide-shaker
Interpretation of proteomics identification results
-
ThermoRawFileParserGUI
Graphical user interface for the ThermoRawFileParser
-
reporter
Protein quantification based on reporter ions
-
denovogui
Graphical user interface for de novo sequencing of tandem mass spectra
-
-
-
mascotdatfile
Java API for MS/MS search results by Mascot (Matrix Science).
-
compomics-rover
A tool to visualize and validate quantitative proteomics data from different sources.
-
cellmissy
Cell Migration Invasion Storage System.
-
MS2IO
Library to read and write ms2 spectrum file
-
pepshell
Visualization of conformational proteomics data.
-
ThermoRawFileParser
Thermo RAW file parser that runs on Linux with mono
-
ms2pip_c
MS2PIP: MS2 Peak Intensity Prediction
-
-
-
ms2rescore
Sensitive PSM rescoring with predicted MS² peak intensities using MS²PIP, DeepLC, and Percolator.
-
meta-proteome-analyzer
MetaProteomeAnalyzer (MPA) software for analyzing and visualizing MS-based metaproteomics data.
-
DeepLC
DeepLC: Retention time prediction for (modified) peptides using Deep Learning.
-
COSS
COSS: CompOmics Spectral Searching
-
fragmentation-analyzer
A standalone java tool for analyzing ms/ms fragmentation data.
-
colims
A lims system to automate and expedite proteomics data management, processing and analysis.
-
moFF
A modest Feature Finder (moFF) to extract MS1 intensities from Thermo raw file
-
pride-asa-pipeline
Uniform annotation of identified spectra.
-
mass-modifications
A list of peptide mass modifications, mapping multiple resources, and a Python interface.

