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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Searching for SNPs with cloud computing. | Open Access Software Searching for SNPs with cloud computing Ben Langmead Michael C Schatz Jimmy Lin Mihai Pop and Steven L Salzberg Addresses Department of Biostatistics Johns Hopkins Bloomberg School of Public Health 615 North Wolfe Street Baltimore Maryland 21205 USA. Center for Bioinformatics and Computational Biology University of Maryland College Park MD 20742 USA. The iSchool College of Information Studies University of Maryland College Park MD 20742 USA. Correspondence Ben Langmead. Email blangmea@jhsph.edu Published 20 November 2009 Genome Biology 2009 10 R134 doi 10.1186 gb-2009-10-11-r1 34 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2009 10 11 R134 Received 30 September 2009 Revised 5 November 2009 Accepted 20 November 2009 2009 Langmead et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract As DNA sequencing outpaces improvements in computer speed there is a critical need to accelerate tasks like alignment and SNP calling. Crossbow is a cloud-computing software tool that combines the aligner Bowtie and the SNP caller SOAPsnp. Executing in parallel using Hadoop Crossbow analyzes data comprising 38-fold coverage of the human genome in three hours using a 320-CPU cluster rented from a cloud computing service for about 85. Crossbow is available from http bowtie-bio.sourceforge.net crossbow . Rationale Improvements in DNA sequencing have made sequencing an increasingly valuable tool for the study of human variation and disease. Technologies from Illumina San Diego CA USA Applied Biosystems Foster City CA USA and 454 Life Sciences Branford CT USA have been used to detect genomic variations among humans 1-5 to profile methylation patterns 6 to map
