WU - Laboratory of Bioinformatics

(Leerstoelgroep Bioinformatica)

Address: Radix, Droevendaalsesteeg 1, 6708 PB, WAGENINGEN, The Netherlands
(Wageningen UR building no. 107)
Correnspondence: P.O. Box 569, 6700 AN Wageningen
+31 317 482036 , fax + 31 317 418094

Head: Prof. dr. J.A.M. Leunissen

Research at the Bioinformatics Group focuses on the analysis of genomes. The main techniques used hereby are data integration and data mining, or in plain text: "how do we make the huge amounts of biomolecular data accessible, and can we generate new knowledge from these data". Bioinformatics is a priori a multidisciplinary science, and therefore it will come as no surprise that the laboratory of bioinformatics studies not only plants, but also animal and human systems.

Many of the software and database services in use by the group are freely accessible for researchers at WUR, such as the SRS and GeneCards servers, homology search servers (e.g. HMMer, BLAST, FASTA, BLAT), and sequence analysis (EMBOSS) and phylogeny software. The Laboratory of Bioinformatics maintains and supports (technically and scientifically) a number of these servers as national bioinformatics services, made accessible through the NBIC/BioAssist (previously: BioASP) web portal.

  • Chair of Bioinformatics, prof Jack Leunissen
    Current research topics include:
    • Linking phenotype to genotype. By using data integration and data mining techniques we try to link the phenotype to the genotype in plants and animals.
    • Bioinformation systems. We devote attention to rational methods of storing and retrieving data. This comprises techniques such as database technology, GRID computing, and semantic web technologies.
    • Analysis of microarray data. We try to improve the resolving power of microarrays, amongst other by developing and incorporating ontologies during the cluster analysis process.
    • Genome evolution and phylogeny. We study the evolution of sequences and genomes, ranging from simple structures like amino acid and nucleotide repeats, up to the evolution of complete genomes.
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