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Title: Bioinformatics for the Functional Analysis of Mammalian Genomes (BFAM)
P33
Fellenberg, Matthias (1); Fries, Ruedi (2); Frishman, Dmitrij (3) et al.

mewes@gsf.de, b.mueller@gsf.de
GSF et al.

BFAM is one of the six Competence Centers in bioinformatics founded by the Federal Ministry of Education and Research (BMBF) in 2001 and one of the two centers which additionally form the bioinformatics platform of the National Genome Research Network (NGFN).

"BFAM" stands for "Bioinformatics for the Functional Analysis of Mammalian Genomes". The initiative is a network in which computer scientists, experimental biologists, mathematicians, and bio- and chemoinformaticians join in their efforts to interpret the structural and functional properties of mammalian genomes. Mainly based on the mouse genome, the consortium will develop new tools, methods, and infrastructure for

- genome annotation and interpretation
- classification, clustering, and visualization of (high throughput) data
- prediction of genes and genomic elements
- experimental verification
- phenotype / genotype correlation
- storage, query, and retrieval of heterogeneous biological data

Partners are
- GSF : National Research Center for Environment and Health GmbH: Institutes for Developmental Genetics, Experimental Genetics, Human Genetics, Biomathematics and Biometry, and Bioinformatics
- TUM : Technische Universität Munich: Mathematics and Computing Faculty, Chairs for Animal Breeding and Genetics, and Bioinformatics (joint chair with LMU)
- LMU : Ludwig-Maximilians-University Munich: Chairs for Computer Sciences and Bioinformatics (joint chair with TUM)
- FAU : Friedrich-Alexander Universität Erlangen & Nuremberg: Chair for Chemistry Computer Center and Organic Chemistry
- Biomax Informatics AG, Munich
- Genomatix Softwarte GmbH, Munich
- Molecular Networks GmbH, Erlangen

The consortium embarks on research strategies that last beyond isolated approaches or short term co-operations. Due to the close collaboration of scientists from different areas of expertise BFAM will establish novel and tools and methods enabling further genome exploration. Bioinformaticians working close to the experiment will bring in biology driven problems, whereas the computer science and mathematics partners will try to provide generalized and efficient methods. The ultimate goal of the project is to create a comprehensive knowledge base to support exploratory research of complex biological systems, exemplified by a number of selected mammalian genomes.