Generic accelerated sequence alignment in SeqAn using vectorization and multi-threading-Reference-Cited by-同舟云学术

Generic accelerated sequence alignment in SeqAn using vectorization and multi-threading

Published:2018-05-03 Issue:20 Volume:34 Page:3437-3445
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Rahn René¹,Budach Stefan²,Costanza Pascal³,Ehrhardt Marcel¹,Hancox Jonny⁴,Reinert Knut¹²

Affiliation:

1. Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany

2. Otto-Warburg-Laboratory, RNA Bioinformatics, Max Planck Institute for Molecular Genetics, Berlin, Germany

3. ExaScience Lab, IMEC, Leuven, Belgium

4. Health & Life Sciences, Intel Corporation, London, UK

Funder

Intel® Parallel Compute Center

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/20/3437/26024331/bty380.pdf

Reference56 articles.

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2. Scheduling multithreaded computations by work stealing;Blumofe;J. ACM,1999

3. Fast and sensitive protein alignment using DIAMOND;Buchfink;Nat. Methods,2015

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