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Bioinformatics Vol. 18 no. 1 2002
Pages 124-129
© 2002 Oxford University Press

PathFinder: reconstruction and dynamic visualization of metabolic pathways

Alexander Goesmann 1, Martin Haubrock 2, Folker Meyer 1, Jörn Kalinowski 1 and Robert Giegerich 3

1 Center for Genome Research, Department of Genetics, Bielefeld University, 33594 Bielefeld, Germany
2 Biobase GmbH, Mascheroder Weg 1B, 38114 Braunschweig, Germany
3 Technische Fakultät, Bielefeld University, 33594 Bielefeld, Germany

Received on January 29, 2001 ; revised on July 5, 2001 ; accepted on July 30, 2001

Motivation: Beyond methods for a gene-wise annotation and analysis of sequenced genomes new automated methods for functional analysis on a higher level are needed. The identification of realized metabolic pathways provides valuable information on gene expression and regulation. Detection of incomplete pathways helps to improve a constantly evolving genome annotation or discover alternative biochemical pathways. To utilize automated genome analysis on the level of metabolic pathways new methods for the dynamic representation and visualization of pathways are needed.

Results: PathFinder is a tool for the dynamic visualization of metabolic pathways based on annotation data. Pathways are represented as directed acyclic graphs, graph layout algorithms accomplish the dynamic drawing and visualization of the metabolic maps. A more detailed analysis of the input data on the level of biochemical pathways helps to identify genes and detect improper parts of annotations. As an Relational Database Management System (RDBMS) based internet application PathFinder reads a list of EC-numbers or a given annotation in EMBL- or Genbank-format and dynamically generates pathway graphs.

Availability: The software PathFinder will be made available on the Bielefeld Bioinformatics WebServer under the following URL: http://bibiserv.TechFak.Uni-Bielefeld.DE/pathfinder/. The source code is available upon request and will eventually be released under GPL.

Contact: Alexander.Goesmann{at}Genetik.Uni-Bielefeld.DE


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