DocumentCode :
1785237
Title :
K-mer clustering algorithm using a MapReduce approach
Author :
Chang Sik Kim ; Winn, Martyn D. ; Sachdeva, Vipin ; Jordan, Kirk E.
Author_Institution :
Hartree Centre, STFC Daresbury Lab., Warrington, UK
fYear :
2014
fDate :
2-5 Nov. 2014
Firstpage :
7
Lastpage :
9
Abstract :
With recent advances in high throughput sequencing platforms, it is possible to sequence RNA obtained from biological samples more cost-effectively and comprehensively. Due to the ubiquity of the technology, massive volumes of RNA sequence data are now being generated, and as a result the need for more efficient analysis software has become an urgent challenge.
Keywords :
RNA; biology computing; molecular biophysics; MapReduce approach; RNA sequence data; efficient analysis software; k-mer clustering algorithm; Assembly; Bioinformatics; Clustering algorithms; Libraries; Memory management; RNA; Runtime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
Type :
conf
DOI :
10.1109/BIBM.2014.6999390
Filename :
6999390
Link To Document :
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