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expam-high-resolution analysis of metagenomes using distance trees.
Solari, Sean M; Young, Remy B; Marcelino, Vanessa R; Forster, Samuel C.
Afiliação
  • Solari SM; Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia.
  • Young RB; Department of Molecular and Translational Science, Monash University, Clayton, VIC 3168, Australia.
  • Marcelino VR; Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia.
  • Forster SC; Department of Molecular and Translational Science, Monash University, Clayton, VIC 3168, Australia.
Bioinformatics ; 38(20): 4814-4816, 2022 10 14.
Article em En | MEDLINE | ID: mdl-36029242
SUMMARY: Shotgun metagenomic sequencing provides the capacity to understand microbial community structure and function at unprecedented resolution; however, the current analytical methods are constrained by a focus on taxonomic classifications that may obfuscate functional relationships. Here, we present expam, a tree-based, taxonomy agnostic tool for the identification of biologically relevant clades from shotgun metagenomic sequencing. AVAILABILITY AND IMPLEMENTATION: expam is an open-source Python application released under the GNU General Public Licence v3.0. expam installation instructions, source code and tutorials can be found at https://github.com/seansolari/expam. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Metagenoma / Microbiota Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Metagenoma / Microbiota Idioma: En Ano de publicação: 2022 Tipo de documento: Article