Faculty Advisor

Wu, Zheyang

Abstract

In this project we develop Graphics Processing Unit (GPU) based tools to address the statistical computation challenges in analyzing the next-generation sequencing data. Our work contains three components. First, we accelerate general statistical analysis in R. After studying various approaches of using GPU in R, we adopted the best solution to combine R with GPU. Second, we address a set of specific computation-intensive problems in simulating genetic variants in whole-genome sequencing data. Third, we break the CPU limitation of Variant Tools, a popular toolkit for the next-gen sequencing analysis, by extending its functionality to more the powerful parallel computation of GPU.

Publisher

Worcester Polytechnic Institute

Date Accepted

May 2014

Major

Computer Science

Major

Mathematical Sciences

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Mathematical Sciences

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