| Literature DB >> 17046975 |
Nicolas Goffard1, Georg Weiller.
Abstract
MOTIVATION: Based on a gene classification into hierarchical categories ('BINs'), MapMan was originally developed to display Arabidopsis thaliana gene expression in a functional context. We have created a bioinformatics system to extend MapMan to any organism by using a new BIN structure based on the KEGG database. Gene sequences are assigned to this ontology by homology relationships in four reference databases: KEGG, COG, Swiss-Prot and Gene Ontology. We applied this system to tailor MapMan to the GeneChips of two model legumes, Glycine max and Medicago truncatula. We also developed a module to identify the most relevant pathways involved. AVAILABILITY: All mapping files, pathway pictures and the analysis method are available at http://bioinfoserver.rsbs.anu.edu.au/Entities:
Mesh:
Substances:
Year: 2006 PMID: 17046975 DOI: 10.1093/bioinformatics/btl517
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937