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Bioinformatic analysis often require working in a unix environment and performing analyses on computing clusters. This can be a big hurdle for biologists to perform these analyses themselves. To alleviate this, we provide a user interface to bioinformatics tools routineously used in the lab. The initial focus is on High Throughput Sequencing analysis. As user-interface we use Galaxy, web-based platform that allows you to perform, reproduce and share data intensive analyses.


Cornet allows integrating plant coexpression, protein-protein interactions, regulatory interactions, gene associations and functional annotations, both in Arabidopsis and maize.


PLAZA is an access point for plant comparative genomics centralizing genomic data produced by different genome sequencing initiatives. It integrates plant sequence data and comparative genomics methods and provides an online platform to perform evolutionary analyses and data mining within the green plant lineage (Viridiplantae). Plaza has been developed by the group of Klaas Vandepoele.

Lab members and alumni


Frederik Coppens

Frederik Coppens

As a bioscience engineer, I started a PhD studying leaf development in Arabidopsis thaliana. During my PhD I gradually shifted from wetlab to bioinformatics. I mostly worked with expression data: from qPCR, over microarrays to sequencing. As a post-doc, I continued in bioinformatics and set up an RNA-seq workflow in our department.

Currently, I'm heading the Applied Bioinformatics and Biostatistics group. I'm coordinating the different projects and provide consultancy for bioinformatics (mainly sequencing related).

Michiel Van Bel

Michiel Van Bel

Postdoctoral fellow

As a postdoctoral researcher in the ABB group I'm involved in the bioinformatics sections of PSB projects, both internal experiments and industrial collaborations. With a master degree in computer science, a PhD in comparative genomics, and experience with expression data, I'm well equipped to easily answer most questions by either chaining existing tools together or by developing new software. Q&A for wet lab scientists, and continuous support for in-house developed software platforms make up the rest of my responsibilities.

Véronique Storme

Véronique Storme


Véronique Storme has a master degree in biochemistry (1989) and statistical data analysis (2008, awarded with a Quetelet prize). She started at VIB in 1995 in the bio-energy group of Wout Boerjan, where she was involved in genetic mapping and QTL analysis of poplar trees. Her interest in statistics grew more and more while analyzing microarray data. Her area of expertise is statistical genetics, mixed model analysis, multivariate statistics and data mining. Her favorite statistical language is SAS, followed by R.


Matthias De Smet
Bram Slabbinck
Nicolas Cybulski