Concurrent and Accurate Short Read Mapping on Multicore Processors.

TitleConcurrent and Accurate Short Read Mapping on Multicore Processors.
Publication TypeJournal Article
Year of Publication2015
AuthorsMartinez H, Tarraga J, Medina I, Barrachina S, Castillo M, Dopazo J, Quintana-Orti ES
Journal TitleIEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM
Volume12
Pages995-1007
Journal Date2015 Sep-Oct
ISSN1557-9964
KeywordsHPC, NGS, short real mapping
AbstractWe introduce a parallel aligner with a work-flow organization for fast and accurate mapping of RNA sequences on servers equipped with multicore processors. Our software, [Formula: see text] ([Formula: see text] is an open-source application. The software is available at http://www.opencb.org, exploits a suffix array to rapidly map a large fraction of the RNA fragments (reads), as well as leverages the accuracy of the Smith-Waterman algorithm to deal with conflictive reads. The aligner is enhanced with a careful strategy to detect splice junctions based on an adaptive division of RNA reads into small segments (or seeds), which are then mapped onto a number of candidate alignment locations, providing crucial information for the successful alignment of the complete reads. The experimental results on a platform with Intel multicore technology report the parallel performance of [Formula: see text], on RNA reads of 100-400 nucleotides, which excels in execution time/sensitivity to state-of-the-art aligners such as TopHat 2+Bowtie 2, MapSplice, and STAR.
URLhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7010005
DOI10.1109/TCBB.2015.2392077
Alternate JournalIEEE/ACM Trans Comput Biol Bioinform
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PDF494.36 KB