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
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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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