Autor: Gayatri Patel, Marc J. Orbach, Ralph A. Dean, Anna Floyd, Vishal Pampanwar, Mark L. Farman, Shelly J. Nolin, Douglas E Brown, Natalia Galadima, Sara L. Tucker, Donald Windham, Cari Soderlund, Nicole M. Donofrio, Ravi Rajagopalon, Thomas K. Mitchell, Stephen E. Diener, Yong-Hwan Lee
Rok vydání: 2005
Předmět:
Zdroj: BMC Bioinformatics. 6:94
ISSN: 1471-2105
DOI: 10.1186/1471-2105-6-94
Popis: Background Recent advances in sequencing techniques leading to cost reduction have resulted in the generation of a growing number of sequenced eukaryotic genomes. Computational tools greatly assist in defining open reading frames and assigning tentative annotations. However, gene functions cannot be asserted without biological support through, among other things, mutational analysis. In taking a genome-wide approach to functionally annotate an entire organism, in this application the ~11,000 predicted genes in the rice blast fungus (Magnaporthe grisea), an effective platform for tracking and storing both the biological materials created and the data produced across several participating institutions was required.
Databáze: OpenAIRE