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Phytest: quality control for phylogenetic analyses.
Wirth, Wytamma; Mutch, Simon; Turnbull, Robert; Duchene, Sebastian.
Afiliación
  • Wirth W; Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne 3010, Australia.
  • Mutch S; Melbourne Data Analytics Platform, University of Melbourne, Melbourne 3010, Australia.
  • Turnbull R; Melbourne Data Analytics Platform, University of Melbourne, Melbourne 3010, Australia.
  • Duchene S; Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne 3010, Australia.
Bioinformatics ; 38(22): 5124-5125, 2022 11 15.
Article en En | MEDLINE | ID: mdl-36205601
ABSTRACT
MOTIVATION The ability to automatically conduct quality control checks on phylogenetic analyses is becoming more important with the increase in genetic sequencing and the use of real-time pipelines e.g. in the SARS-CoV-2 era. Implementations of real-time phylogenetic analyses require automated testing to make sure that problems in the data are caught automatically within analysis pipelines and in a timely manner. Here, we present Phytest (version 1.1) a tool for automating quality control checks on sequences, trees and metadata during phylogenetic analyses.

RESULTS:

Phytest is a phylogenetic analysis testing program that easily integrates into existing phylogenetic pipelines. We demonstrate the utility of Phytest with real-world examples. AVAILABILITY AND IMPLEMENTATION Phytest source code is available on GitHub (https//github.com/phytest-devs/phytest) and can be installed via PyPI with the command 'pip install phytest'. Extensive documentation can be found at https//phytest-devs.github.io/phytest/. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Australia