About

The CompOmics group, headed by Prof. Dr. Lennart Martens, is part of the Department of Biomolecular Medicine of the Faculty of Medicine and Health Sciences of Ghent University, and the VIB-UGent Center for Medical Biotechnology of VIB, both in Ghent, Belgium.

The group has its roots in Ghent, but has active members all over Europe, and specializes in the management, analysis and integration of high-throughput Omics data with an aim towards establishing solid data stores, processing methods and tools to enable downstream systems biology research.

The CompOmics team is always looking for talented people. Go to the jobs section on the VIB website to look for open positions.

Web applications

The following web applications are developed and hosted by the group.

IONBOT

Novel MS/MS search engine

MS²PIP

MS² Peak Intensity Prediction

Unipept

Functional Analysis of Metaproteome Data

Tabloid Proteome

Protein-protein interaction networks

LNCipedia

A comprehensive compendium of human long non-coding RNAs

LNCASO

LNCASO is an ASO design tool specifically geared towards lncRNA

Scop3D

Sequence Conservation On Protein 3D structure

Scop3P

Phosphosites on protein 3D structure

Free and open source software

Here is a selection of our free and open-source tools. A full list can be found on GitHub.

SearchGUI

Combines proteomics search engines in one user-friendly GUI

PeptideShaker

Advanced proteomics data analysis made easy

Colims

LIMS system for proteomics data management and analysis

Thermo Raw File Parser

Convert Thermo Raw files to mzML or MGF on all operating systems

moFF

Extract MS1 features from Thermo Raw files for quantification

COSS

Fast and user-friendly spectral library search engine

Cellmissy

Data management system for cell migration / invasion data

MS²ReScore

Improve Percolator rescoring with MS²PIP-predicted peak intensities.

Latest Tweets

This was indeed a great collaboration! With hopefully a lot more to come!
Find out how #MS2PIP plays a central role in the #DIAmondDIAgram in our latest publication "Removing the Hidden Data Dependency of DIA with Predicted Spectral Libraries" http://bit.ly/2P6Jmzh https://twitter.com/BartVP/status/1230157335840141315

Bart Van Puyvelde@BartVP

Honoured to have my first publication on the front cover of the latest Proteomics issue. Thanks to @compomics and @VIB_PRC for the great collaboration. #Proteomics #DataIndependentAcquisition #MachineLearning

https://rdcu.be/b1UVq

This week at #EuBIC2020 I happily presented my poster on the upcoming HUPO-PSI Spectral Library Format.
All input and contributions on the format are welcome at http://bit.ly/2syADxy!

Load more tweets

Tutorials

Do you want to learn about Proteomics and Proteomics data analysis? Have a look at our CompOmics tutorials:

Latest publications

Where to find us?

Mail address
Computational Omics and Systems Biology Group
Department of Biomolecular Medicine, Ghent University
VIB-UGent Center for Medical Biotechnology, VIB
Albert Baertsoenkaai 3
9000 Gent, Belgium
Entrance

Apotheekstraat 5
9000 Gent, Belgium

E-mail

lennart [dot] martens [AT] UGent.be

Drone picture of Rommelaere campus
Rommelaere campus - © UGent, foto Jonas Vandecasteele en Yentl Vandendriessche