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 |
|---|---|
| Pages (from-to) | 2958-2959 |
| Number of pages | 2 |
| Journal | Bioinformatics |
| Volume | 22 |
| Issue number | 23 |
| DOIs | |
| Publication status | Published - 1 Dec 2006 |
Fingerprint
Dive into the research topics of 'Extending MapMan: Application to legume genome arrays'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver