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AC-DIAMOND v1: accelerating large-scale DNA-protein alignment.
Mai, Huijun; Zhang, Yifan; Li, Dinghua; Leung, Henry Chi-Ming; Luo, Ruibang; Wong, Chi-Kwong; Ting, Hing-Fung; Lam, Tak-Wah.
Afiliação
  • Mai H; Department of Computer Science, University of Hong Kong, Hong Kong.
  • Zhang Y; L3 Bioinformatics Limited, Hong Kong.
  • Li D; Department of Computer Science, University of Hong Kong, Hong Kong.
  • Leung HC; Department of Computer Science, University of Hong Kong, Hong Kong.
  • Luo R; L3 Bioinformatics Limited, Hong Kong.
  • Wong CK; Department of Computer Science, University of Hong Kong, Hong Kong.
  • Ting HF; L3 Bioinformatics Limited, Hong Kong.
  • Lam TW; L3 Bioinformatics Limited, Hong Kong.
Bioinformatics ; 34(21): 3744-3746, 2018 11 01.
Article em En | MEDLINE | ID: mdl-29771282
ABSTRACT

Summary:

AC-DIAMOND (v1) is a DNA-protein alignment tool designed to tackle the efficiency challenge of aligning large amount of reads or contigs to protein databases. When compared with the previously most efficient method DIAMOND, AC-DIAMOND gains a 6- to 7-fold speed-up, while retaining a similar degree of sensitivity. The improvement is rooted at two aspects first, using a compressed index of seeds with adaptive-length to speed-up the matching between query and reference sequences; second, adopting a compact form of dynamic programing to fully utilize the parallelism of the SIMD capability. Availability and implementation Software source codes and binaries available at https//github.com/Maihj/AC-DIAMOND/. Supplementary information Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Hong Kong

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Hong Kong