January 15-19, 2005
Town & Country Convention Center
San Diego, CA
Ana Conesa1 , Stefan Goetz2 , Juan Miguel García-Gómez2 , Montserrat Robles-Viejo2 , Manuel Talón1
The recent advances and the cost reduction in new high-throughput technologies have made possible to extend genome-wide research to many field-specific plant and animal species. However, often databases and advanced data mining tools that are necessary to analyze the mount of data generated in these technologies, are devoted to traditional model species and are hard to extend to new biological backgrounds. To obtain the maximum research benefit that the high throughput era proposes, one would like to, on one hand, take advance of the already available knowledge and rationally extend it to your particular organism of interest, and on the other, extract meaningful information from the data. Following this idea, we have developed Blast2GO, a universal Gene Ontology-based annotation tool that offers data-mining capabilities in genomic studies for virtually any organism.
Blast2GO uses web or local based Blast searches to find similar sequences to one or several input sequences. The program extracts the GO terms associated to each of the obtained hits and returns an. evaluated GO annotation for the query sequence(s). This annotation is visualized reconstructing the structure of the Gene Ontology relationships, with highlighting of the most relevant results.
Blast2GO has been developed as a Java desktop application with a client-server structure and uses GraphViz to generate graphs.
The use of Blast2GO will be shown on to two case-studies in Citrus genomic research: the interpretation of gene expression data from a spotted EST microarray, and the analysis of common biological features in tissue-specific EST libraries.