Arioc: GPU-accelerated alignment of short bisulfite-treated reads
Author(s) -
Richard Wilton,
Xin Li,
Andrew P. Feinberg,
Alexander S. Szalay
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty167
Subject(s) - computer science , bottleneck , graphics processing unit , parallel computing , software , cuda , graphics , throughput , embedded system , programming language , operating system , wireless
The alignment of bisulfite-treated DNA sequences (BS-seq reads) to a large genome involves a significant computational burden beyond that required to align non-bisulfite-treated reads. In the analysis of BS-seq data, this can present an important performance bottleneck that can be mitigated by appropriate algorithmic and software-engineering improvements. One strategy is to modify the read-alignment algorithms by integrating the logic related to BS-seq alignment, with the goal of making the software implementation amenable to optimizations that lead to higher speed and greater sensitivity than might otherwise be attainable.
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