Gene teams: a new formalization of gene clusters for comparative genomics

✍ Scribed by Nicolas Luc; Jean-Loup Risler; Anne Bergeron; Mathieu Raffinot

• Book ID: 104440790
• Publisher: Elsevier Science
• Year: 2003
• Tongue: English
• Weight: 221 KB
• Volume: 27
• Category: Article
• ISSN: 1476-9271
• DOI: 10.1016/s1476-9271(02)00097-x

✦ Synopsis

This paper describes an efficient algorithm based on a new concept called gene team for detecting conserved gene clusters among an arbitrary number of chromosomes. Within the clusters, neither the order of the genes nor their orientation need be conserved. In addition, insertion of foreign genes within the clusters are permitted to a user-defined extent. This algorithm has been implemented in a publicly available TEAM software that proves to be an efficient tool for systematic searches of conserved gene clusters. Examples of actual biological results are provided. The software is downloadable from http://www-igm.univ-mlv.fr/ approximately raffinot/geneteam.html.