Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1109/GlobalSIP.2013.6736809 | IEEE Global Conference on Signal and Information Processing |
Keywords | DocType | ISSN |
AWS cloud computing,1000 Genomes project,SNP calling,genotype imputation | Conference | 2376-4066 |
Citations | PageRank | References |
1 | 0.37 | 2 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhuoyi Huang | 1 | 1 | 0.37 |
Jin Yu | 2 | 21 | 1.54 |
Fuli Yu | 3 | 2 | 0.74 |