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MAGNAMWAR: an R package for genome-wide association studies of bacterial orthologs.
Sexton, Corinne E; Smith, Hayden Z; Newell, Peter D; Douglas, Angela E; Chaston, John M.
Afiliação
  • Sexton CE; Department of Biology, Brigham Young University, Provo, UT 84602, USA.
  • Smith HZ; Department of Biology, Brigham Young University, Provo, UT 84602, USA.
  • Newell PD; Department of Biological Sciences, SUNY Oswego, Oswego, NY 13126, USA.
  • Douglas AE; Department of Entomology and Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA.
  • Chaston JM; Department of Plant & Wildlife Sciences, Brigham Young University, Provo, UT 84602, USA.
Bioinformatics ; 34(11): 1951-1952, 2018 06 01.
Article em En | MEDLINE | ID: mdl-29342236
ABSTRACT

Summary:

Here we report on an R package for genome-wide association studies of orthologous genes in bacteria. Before using the software, orthologs from bacterial genomes or metagenomes are defined using local or online implementations of OrthoMCL. These presence-absence patterns are statistically associated with variation in user-collected phenotypes using the Mono-Associated GNotobiotic Animals Metagenome-Wide Association R package (MAGNAMWAR). Genotype-phenotype associations can be performed with several different statistical tests based on the type and distribution of the data. Availability and implementation MAGNAMWAR is available on CRAN. Contact john_chaston@byu.edu.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Proteínas de Bactérias / Software / Genoma Bacteriano / Estudo de Associação Genômica Ampla Tipo de estudo: Risk_factors_studies Limite: Animals Idioma: En Revista: Bioinformatics Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Proteínas de Bactérias / Software / Genoma Bacteriano / Estudo de Associação Genômica Ampla Tipo de estudo: Risk_factors_studies Limite: Animals Idioma: En Revista: Bioinformatics Ano de publicação: 2018 Tipo de documento: Article