Name: Computational Omics and Systems Biology Group
Type: Organization
Bio: The CompOmics group, headed by Prof. Dr. Lennart Martens, specializes in the management, analysis and integration of high-throughput Omics data.
Twitter: CompOmics
Blog: https://www.compomics.com/
Computational Omics and Systems Biology Group's Projects
Tool that combines cross-link database searching tools
Conda recipes for the bioconda channel.
Enabling the analysis of cell motility paths over time.
More complex statistical methods for the analysis of layered single cell migration experiments
Cell Migration Invasion Storage System.
Filter and export spectrum from PRIDE Archive
A lims system to automate and expedite proteomics data management, processing and analysis.
A SQuireL SQL plugin that simplifies the creation of large queries.
Library that allows for windows users to contribute to science through donating cpu cycles behind a screensaver
Java hibernate model for ensembl.
A tool to visualize and validate quantitative proteomics data from different sources.
Predicting peptide signatures for targeted proteomics.
Open source Java library for computational proteomics
Compomics github website.
Small Python scripts developed in the CompOmics group
CompOmics spectral library builder.
COSS: CompOmics Spectral Searching
CompOmics Spectral Similarity Search Tool
this repository contains example files, setting and scripts used to process our bench marking datasets
Machine learning-based scoring for mass spectrometry-based SARS-CoV-2 diagnostic testing
Machine Leren methoden voor biomedische gegevens
Manipulating fasta sequence databases
DeepLC: Retention time prediction for (modified) peptides using Deep Learning.
Graphical user interface for de novo sequencing of tandem mass spectra
A Java API to make use of the retention time prediction functionality from elude.
A standalone java tool for analyzing ms/ms fragmentation data.
Next-generation visualization of protein consensus sequences by iceLogo.