2005 | OriginalPaper | Buchkapitel
Gene Trek in Procaryote Space Powered by a GRID Environment
verfasst von : Hideaki Sugawara
Erschienen in: Grid Computing in Life Science
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
More than 100 microbial genomes have been sequenced since 1995 and thousands of microbial genomes will be sequenced in a decade. It implies that millions of open reading frames (ORFs) will be predicted and should be evaluated. Therefore, we need a high throughput system to evaluate the predicted ORFs and understand functions of genes based on comparative genomics. We established and applied a protocol for the prediction and evaluation of ORFs to genome sequences of 124 microbial that were available from the International Nucleotide Sequence Database as of June, 2003. We could carry out the evaluation of about 300,000 predicted ORFs based on clustering and horizontal gene transfer analysis thanks to the GRID environment. This paper introduces mainly the scheme of the GRID environment applied to the comparative genomics.