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.
Original language | English |
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Pages (from-to) | 2958-2959 |
Number of pages | 2 |
Journal | Bioinformatics |
Volume | 22 |
Issue number | 23 |
DOIs | |
Publication status | Published - 1 Dec 2006 |