Abstract
Background The dramatic fall of next generation sequencing (NGS) cost in recent years positions the price in range of typical medical testing, and thus whole genome analysis (WGA) may be a viable clinical diagnostic tool. Modern sequencing platforms routinely generate petabyte data. The current challenge lies in calling and analyzing this large-scale data, which has become the new time and cost rate-limiting step.
Highlights
Open AccessFrom Tenth International Society for Computational Biology (ISCB) Student Council Symposium 2014 Boston, MA, USA
The dramatic fall of generation sequencing (NGS) cost in recent years positions the price in range of typical medical testing, and whole genome analysis (WGA) may be a viable clinical diagnostic tool
To address the computational limitations and optimize the cost, we have developed COSMOS, a scalable, parallelizable workflow management system running on clouds (e.g., Amazon Web Services or Google Clouds)
Summary
From Tenth International Society for Computational Biology (ISCB) Student Council Symposium 2014 Boston, MA, USA. From Tenth International Society for Computational Biology (ISCB) Student Council Symposium 2014 Boston, MA, USA. 11 July 2014
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