Title :
Using clouds for metagenomics: A case study
Author :
Wilkening, Jared ; Wilke, Andreas ; Desai, Narayan ; Meyer, Folker
Author_Institution :
Math. & Comput. Sci. Div., Argonne Nat. Lab., Argonne, IL, USA
fDate :
Aug. 31 2009-Sept. 4 2009
Abstract :
Cutting-edge sequencing systems produce data at a prodigious rate; and the analysis of these datasets requires significant computing resources. Cloud computing provides a tantalizing possibility for on-demand access to computing resources. However, many open questions remain. We present here a performance assessment of BLAST on real metagenomics data in a cloud setting in order to determine the viability of this approach. BLAST is one of the premier applications in bioinformatics and computational biology and is assumed to consume the vast majority of resources in that area.
Keywords :
bioinformatics; genomics; information networks; BLAST performance assessment; approach viability; bioinformatics application; cloud computing; computational biology; computing resource; metagenomics data; on-demand access; sequencing system; Bioinformatics; Biology computing; Cloud computing; Costs; DNA; Data analysis; Genomics; Laboratories; Organisms; Sequences;
Conference_Titel :
Cluster Computing and Workshops, 2009. CLUSTER '09. IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-5011-4
Electronic_ISBN :
1552-5244
DOI :
10.1109/CLUSTR.2009.5289187
