DocumentCode
2010245
Title
Accelerating De Bruijn Graph-Based Genome Assembly for High-Throughput Short Read Data
Author
Kun Zhao ; Weiguo Liu ; Voss, Gerrit ; Mueller-Wittig, Wolfgang
Author_Institution
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
fYear
2013
fDate
15-18 Dec. 2013
Firstpage
426
Lastpage
427
Abstract
Emerging next-generation sequencing technologies have opened up exciting new opportunities for genome sequencing by generating read data with a massive throughput. However, the generated reads are significantly shorter compared to the traditional Sanger shotgun sequencing method. This poses challenges for de novo assembly algorithms in terms of both accuracy and efficiency. And due to the continuing explosive growth of short read databases, there is a high demand to accelerate the often repeated long-runtime assembly task. In this paper, we present a scalable parallel algorithm to accelerate the de Bruijn graph-based genome assembly for high-throughput short read data.
Keywords
biology computing; database management systems; genomics; graph theory; parallel algorithms; program assemblers; sequences; Sanger shotgun sequencing method; de Bruijn graph-based genome assembly; de novo assembly algorithms; genome sequencing; high-throughput short read data; long-runtime assembly task; next-generation sequencing technologies; parallel algorithm; short read databases; Acceleration; Assembly; Bioinformatics; Conferences; Genomics; Pipelines; Sequential analysis; Genome Assembly; MPI; Multi-threading; Short Read Data; de Bruijn Graph;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Systems (ICPADS), 2013 International Conference on
Conference_Location
Seoul
ISSN
1521-9097
Type
conf
DOI
10.1109/ICPADS.2013.68
Filename
6808205
Link To Document