PZLAST: an ultra-fast amino acid sequence similarity search server against public metagenomes

Author:

Mori Hiroshi1ORCID,Ishikawa Hitoshi2,Higashi Koichi1ORCID,Kato Yoshiaki3ORCID,Ebisuzaki Toshikazu3ORCID,Kurokawa Ken1ORCID

Affiliation:

1. Department of Informatics, National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan

2. PEZY Computing, K. K., 5F Chiyoda Ogawamachi Crosta, Chiyoda-ku, Tokyo 101-0052, Japan

3. Computational Astrophysics Laboratory, RIKEN, Wako, Saitama, Japan

Abstract

Abstract Summary : Similarity searches of amino acid sequences against the public metagenomic data can provide users insights about the function of sequences based on the environmental distribution of similar sequences. However, a considerable reduction in the amount of data or the accuracy of the result was necessary to conduct sequence similarity searches against public metagenomic data, because of the vast data size more than Terabytes. Here, we present an ultra-fast service for the highly accurate amino acid sequence similarity search, called PZLAST, which can search the user’s amino acid sequences to several Terabytes of public metagenomic sequences in ∼10–20 min. PZLAST accomplishes its search speed by using PEZY-SC2, which is a Multiple Instruction Multiple Data many-core processor. Results of PZLAST are summarized by the ontology-based environmental distribution of similar sequences. PZLAST can be used to predict the function of sequences and mine for homologs of functionally important gene sequences. Availability and implementation PZLAST is freely accessible at https://pzlast.riken.jp/meta without requiring registration. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Grant-in-Aid for High Performance Computing with General Purpose Computers

Publisher

Oxford University Press (OUP)

Subject

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

Reference14 articles.

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

2. BLAST+: architecture and applications;Camacho;BMC Bioinform,2009

3. A reusable anatomically segmented digital mannequin for public health communication;Fujieda;J. Vis. Commun. Med,2016

4. pzqd: PEZY-SC2 acceleration of double-double precision arithmetic library for high-precision BLAS;Hishinuma;ICCES,2019

5. Gene and translation initiation site prediction in metagenomic sequences;Hyatt;Bioinformatics,2012

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3