Parallelization of MAFFT for large-scale multiple sequence alignments-Reference-Cited by-同舟云学术

Parallelization of MAFFT for large-scale multiple sequence alignments

Published:2018-03-01 Issue:14 Volume:34 Page:2490-2492
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Nakamura Tsukasa¹²,Yamada Kazunori D²³,Tomii Kentaro¹²⁴⁵,Katoh Kazutaka²⁶^ORCID

Affiliation:

1. Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Chiba, Japan

2. Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan

3. Graduate School of Information Sciences, Tohoku University, Sendai, Japan

4. Biotechnology Research Institute for Drug Discovery (BRD), AIST, Tokyo, Japan

5. AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), Tokyo, Japan

6. Research Institute for Microbial Diseases, Osaka University, Suita, Japan

Funder

JSPS

KAKENHI

Platform Project for Supporting Drug Discovery and Life Science Research

AMED

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/34/14/2490/25138265/bty121.pdf

Reference14 articles.

1. Instability in progressive multiple sequence alignment algorithms;Boyce;Algorithms Mol Biol,2015

2. JPred4: a protein secondary structure prediction server;Drozdetskiy;Nucleic Acids Res,2015

3. Using de novo protein structure predictions to measure the quality of very large multiple sequence alignments;Fox;Bioinformatics,2016

4. 25 years of serving the community with ribosomal RNA gene reference databases and tools;Glöckner;J. Biotechnol,2017

5. MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems;González-Domínguez;Bioinformatics,2016

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