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.


Novel MS/MS search engine


MS² Peak Intensity Prediction


Functional Analysis of Metaproteome Data

Tabloid Proteome

Protein-protein interaction networks


A comprehensive compendium of human long non-coding RNAs


LNCASO is an ASO design tool specifically geared towards lncRNA


Sequence Conservation On Protein 3D structure


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.


Combines proteomics search engines in one user-friendly GUI


Advanced proteomics data analysis made easy


LIMS system for proteomics data management and analysis

Thermo Raw File Parser

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


Fast and user-friendly spectral library search engine


Data management system for cell migration / invasion data


Retention time prediction for any modified peptide using Deep Learning.


Improve Percolator rescoring with MS²PIP-predicted peak intensities.

Latest Tweets

Do you want to identify more than 10,000 immunopeptides in a single shot?
We are thrilled to present Thunder-DDA-PASEF, an optimized LC-MS #immunopeptidomics method tailored to MHC class I ligands, in preprint now at Research Square 🧵(1/n) https://twitter.com/RS_COVID19/status/1633702776428724224

Research Square Covid-19 Preprints @RS_COVID19

Thunder-DDA-PASEF enables high-coverage immunopeptidomics and identifies HLA class-I presented SarsCov-2 spike protein epitopes #covid https://researchsquare.com/article/rs-2625909/latest

And out it is! @compomics @TineClaeys1's paper on a machine learning model that identifies tissue and cell type specific protein patterns.

Load more tweets


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

Bioinformatics for proteomics

Hands-on tutorial using user-friendly proteomics software

Machine learning

Video lecture series, including practical exercises using Jupyter notebooks

Where to find us?

CompOmics moved to a new building!
Computational Omics and Systems Biology Group
Department of Biomolecular Medicine, Ghent University
VIB-UGent Center for Medical Biotechnology, VIB
Technologiepark 75
9052 Gent-Zwijnaarde, Belgium

lennart [dot] martens [AT] UGent.be

Drone picture of FSVM II building
FSVM II, Zwijnaarde - © UGent, foto Jonas Vandecasteele en Yentl Vandendriessche