Cloud-GSQCT:a parallel approach to screen gene sequences for phylogenetics analysis

Author

Meng, Zhen ; Xiao, Xiao ; Li, Jianhui ; Zhou, Yuanchun ; Cao, Wei ; Shen, Geng

Author_Institution

Sci. Data Center, Comput. Network Inf. Center, Beijing, China

fYear

2012

fDate

24-26 Aug. 2012

Firstpage

660

Lastpage

663

Abstract

Screening data for phylogenetic analysis from large datasets is a known computational problem of data-intensive application. In this paper, we implement a parallel approach, Cloud-GSQCT (Cloud Gene Sequence Quality Control Tool), to screen gene sequence data for phylogenetic analysis, using the MapReduce paradigm to parallelize the solution and to manage its execution. The parallel approach using Hadoop are implemented and the evaluation of the approach is also presented. For download: http://www.darwintree.cn/tools.htm.

Keywords

biology computing; cloud computing; genetics; parallel processing; quality control; Cloud-GSQCT; Hadoop; MapReduce paradigm; cloud gene sequence quality control tool; computational problem; data-intensive application; execution management; gene sequence data screening; gene sequences screening; parallel approach; phylogenetics analysis; Biology; Databases; Hardware; High definition video; Data screening; GSQCT; Hadoop; MapReduce;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Processing (CSIP), 2012 International Conference on

Conference_Location

Xi´an, Shaanxi

Print_ISBN

978-1-4673-1410-7

Type

conf

DOI

10.1109/CSIP.2012.6308940

Filename

6308940