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Swarm v3: towards tera-scale amplicon clustering.
Mahé, Frédéric; Czech, Lucas; Stamatakis, Alexandros; Quince, Christopher; de Vargas, Colomban; Dunthorn, Micah; Rognes, Torbjørn.
Afiliação
  • Mahé F; UMR PHIM, CIRAD, Montpellier, France.
  • Czech L; PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France.
  • Stamatakis A; Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany.
  • Quince C; Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA.
  • de Vargas C; Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany.
  • Dunthorn M; Institute of Theoretical Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany.
  • Rognes T; Organisms and Ecosystems, Earlham Institute, Norwich, UK.
Bioinformatics ; 38(1): 267-269, 2021 12 22.
Article em En | MEDLINE | ID: mdl-34244702
ABSTRACT
MOTIVATION Previously we presented swarm, an open-source amplicon clustering programme that produces fine-scale molecular operational taxonomic units (OTUs) that are free of arbitrary global clustering thresholds. Here, we present swarm v3 to address issues of contemporary datasets that are growing towards tera-byte sizes.

RESULTS:

When compared with previous swarm versions, swarm v3 has modernized C++ source code, reduced memory footprint by up to 50%, optimized CPU-usage and multithreading (more than 7 times faster with default parameters), and it has been extensively tested for its robustness and logic. AVAILABILITY AND IMPLEMENTATION Source code and binaries are available at https//github.com/torognes/swarm. 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 Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software Idioma: En Ano de publicação: 2021 Tipo de documento: Article