Title :
Cloud processing of 1000 genomes sequencing data using Amazon Web Service
Author :
Zhuoyi Huang ; Jin Yu ; Fuli Yu
Author_Institution :
Human Genome Sequencing Center, Baylor Coll. of Med., Houston, TX, USA
Abstract :
We deployed the genetic variant pipeline SNPTools in the cloud utilizing the Amazon Web Service (AWS). With the cloud SNPTools pipeline, we performed the SNP calling and genotype imputation on the 1000 Genomes Project Phase 3 data and assessed the quality of SNPs. We also explored different strategies of exploiting Amazon Elastic Cloud Compute instances and the Amazon Simple Storage Service in order to optimize the performance and cost of cloud computing. Our analysis shows that cloud computing will be indispensable to the Next Generation Sequencing data processing.
Keywords :
Web services; biology computing; cloud computing; genetics; genomics; molecular biophysics; AWS; Amazon Web service; Amazon elastic cloud compute instances; Amazon simple storage service; SNP calling; cloud SNPTools pipeline; cloud computing; cloud processing; genetic variant pipeline SNPTools; genomes project phase 3 data; genomes sequencing data; genotype imputation; next generation sequencing data processing; Bioinformatics; Biological cells; Cloud computing; Data processing; Genomics; Pipelines; Sequential analysis; 1000 Genomes project; AWS cloud computing; SNP calling; genotype imputation;
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GlobalSIP.2013.6736809
