Project Details
Abstract
Dealing with the dramatically increased high throughput sequencing data by cloud computing is the best
way to reduce the cost and performance. Currently, there are some cloud computing providers such as
HiPipe by Academia Sinica, ALPS clustering system by NCHC, BaseSpace sequence hub of Illumina, and
BGI online of BGI. However, the universal analytic platform offering the same software environment on PC
and clouds are rare. We believe the ideal platform must provide (1) the high flexibility of host systems such
as PC, self-built cloud, and public cloud; (2) both simple interface and scripting system which allowing
automation and detailed parameters refining.
This project will develop a flexible platform system providing the universal software environment that
can be deployed on PC, self-built cloud, and public cloud. End-user can use the simple interface to run the
analysis. And power-user can refine the parameters by command-line interface or import commanding
scripts. Also, the script can be exported and shared with other users. Any facilities or service provider can
download the platform source code and build the system on their machines.
We proposed a two-year plan, in the first year, we will build the system architecture, deploy the
software development environment, and develop new methods and strategies on clustering system and
high-quality visualization modules. On the second year, the platform drawn up in the previous year will be
applied to build a next-generation sequencing data analytic system of non-model organisms. Hoping the
system can provide help on research field of non-model organisms.
Project IDs
Project ID:PB10703-1494
External Project ID:MOST106-2221-E182-068
External Project ID:MOST106-2221-E182-068
Status | Finished |
---|---|
Effective start/end date | 01/08/17 → 31/07/18 |
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