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Pathogen-Host Analysis Tool (PHAT): an integrative platform to analyze next-generation sequencing data.
Gibb, Christopher M; Jackson, Robert; Mohammed, Sabah; Fiaidhi, Jinan; Zehbe, Ingeborg.
Afiliação
  • Gibb CM; Probe Development and Biomarker Exploration, Thunder Bay Regional Health Research Institute.
  • Jackson R; Department of Computer Science, Lakehead University, Thunder Bay, Ontario, Canada.
  • Mohammed S; Probe Development and Biomarker Exploration, Thunder Bay Regional Health Research Institute.
  • Fiaidhi J; Biotechnology Program, Lakehead University, Thunder Bay, Ontario, Canada.
  • Zehbe I; Department of Computer Science, Lakehead University, Thunder Bay, Ontario, Canada.
Bioinformatics ; 35(15): 2665-2667, 2019 08 01.
Article em En | MEDLINE | ID: mdl-30561651
SUMMARY: The Pathogen-Host Analysis Tool (PHAT) is an application for processing and analyzing next-generation sequencing (NGS) data as it relates to relationships between pathogens and their hosts. Unlike custom scripts and tedious pipeline programming, PHAT provides an integrative platform encompassing raw and aligned sequence and reference file input, quality control (QC) reporting, alignment and variant calling, linear and circular alignment viewing, and graphical and tabular output. This novel tool aims to be user-friendly for life scientists studying diverse pathogen-host relationships. AVAILABILITY AND IMPLEMENTATION: The project is available on GitHub (https://github.com/chgibb/PHAT) and includes convenient installers, as well as portable and source versions, for both Windows and Linux (Debian and RedHat). Up-to-date documentation for PHAT, including user guides and development notes, can be found at https://chgibb.github.io/PHATDocs/. We encourage users and developers to provide feedback (error reporting, suggestions and comments).
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2019 Tipo de documento: Article