• Media type: E-Article
  • Title: metagenomeFeatures: an R package for working with 16S rRNA reference databases and marker-gene survey feature data
  • Contributor: Olson, Nathan D; Shah, Nidhi; Kancherla, Jayaram; Wagner, Justin; Paulson, Joseph N; Corrada Bravo, Hector
  • imprint: Oxford University Press (OUP), 2019
  • Published in: Bioinformatics
  • Language: English
  • DOI: 10.1093/bioinformatics/btz136
  • ISSN: 1367-4803; 1367-4811
  • Keywords: Computational Mathematics ; Computational Theory and Mathematics ; Computer Science Applications ; Molecular Biology ; Biochemistry ; Statistics and Probability
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Summary</jats:title> <jats:p>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.</jats:p> </jats:sec> <jats:sec> <jats:title>Availability and implementation</jats:title> <jats:p>https://bioconductor.org/packages/release/bioc/html/metagenomeFeatures.html.</jats:p> </jats:sec> <jats:sec> <jats:title>Supplementary information</jats:title> <jats:p>Supplementary material is available at Bioinformatics online.</jats:p> </jats:sec>
  • Access State: Open Access