DocumentCode :
1926009
Title :
Cloud Based Short Read Mapping Service
Author :
Dai, Dong ; Li, Xi ; Wang, Chao ; Zhou, Xuehai
Author_Institution :
Dept. Comput. Sci., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2012
fDate :
24-28 Sept. 2012
Firstpage :
601
Lastpage :
604
Abstract :
Bioinformatics is an emerging field with seemingly limitless possibilities for advances in numerous scientific research and applications domains. In this paper, we summaries the explosive cutting-edge acceleration engines for the emerging short read mapping problems. What´s more, we propose a novel Cloud based web service solution to the short read mapping problem in DNA sequencing, which greatly accelerates the task of aligning continuous incoming short length reads to uncertain known reference genomes. This approach is based on the pre-process of the reference genomes and iterative MapReduce jobs for aligning the continuous incoming reads. The MapReduce-based read-mapping algorithm is modeled after RMAP. Preliminary experimental results on incorporated MapReduce programming framework demonstrate that our proposed architecture and methods efficiently reduces the waiting time for large scale short reads applications. This architecture would be much important and efficient in future commercial personal gnome sequencing service.
Keywords :
DNA; Web services; bioinformatics; cloud computing; data handling; genomics; iterative methods; parallel programming; DNA sequencing; MapReduce programming framework; MapReduce-based read-mapping algorithm; RMAP; applications domain; bioinformatics; cloud based Web service; cloud based short read mapping service; continuous incoming read alignment; continuous incoming short length read alignment; cutting-edge acceleration engine; iterative MapReduce job; personal genome sequencing service; reference genome; scientific research; short read mapping problem; Acceleration; Algorithm design and analysis; Bioinformatics; Clustering algorithms; Computer architecture; Genomics; Web services; Hadoop; Service; map reduce; short reads mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing (CLUSTER), 2012 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2422-9
Type :
conf
DOI :
10.1109/CLUSTER.2012.60
Filename :
6337832
Link To Document :
بازگشت