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metagenomeFeatures: an R package for working with 16S rRNA reference databases and marker-gene survey feature data.
Olson, Nathan D; Shah, Nidhi; Kancherla, Jayaram; Wagner, Justin; Paulson, Joseph N; Corrada Bravo, Hector.
Afiliação
  • Olson ND; Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA.
  • Shah N; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
  • Kancherla J; University of Maryland Institute for Advanced Computer Studies, College Park, MD, USA.
  • Wagner J; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
  • Paulson JN; University of Maryland Institute for Advanced Computer Studies, College Park, MD, USA.
  • Corrada Bravo H; Department of Computer Science, University of Maryland, College Park, MD, USA.
Bioinformatics ; 35(19): 3870-3872, 2019 10 01.
Article em En | MEDLINE | ID: mdl-30821316
ABSTRACT

SUMMARY:

We developed the metagenomeFeatures R Bioconductor package along with annotation packages for three 16S rRNA databases (Greengenes, RDP and SILVA) to facilitate working with 16S rRNA databases and marker-gene survey feature data. The metagenomeFeatures package defines two classes, MgDb for working with 16S rRNA sequence databases, and mgFeatures for marker-gene survey feature data. The associated annotation packages provide a consistent interface to the different databases facilitating database comparison and exploration. The mgFeatures-class represents a crucial step in the development of a common data structure for working with 16S marker-gene survey data in R. AVAILABILITY AND IMPLEMENTATION https//bioconductor.org/packages/release/bioc/html/metagenomeFeatures.html. SUPPLEMENTARY INFORMATION Supplementary material is available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Bases de Dados de Ácidos Nucleicos Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Bases de Dados de Ácidos Nucleicos Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos