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Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities

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Schloss, Patrick D., Westcott, Sarah L., Ryabin, Thomas, Hall, Justine R., Hartmann, Martin, Hollister, Emily B., Lesniewski, Ryan A., Oakley, Brian B., Parks, Donovan H., Robinson, Courtney J., Sahl, Jason W., Stres, Blaz, Thallinger, Gerhard G., Van Horn, David J. and Weber, Carolyn F.. (2009) Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Applied and Environmental Microbiology, Vol.75 (No.23). pp. 7537-7541. ISSN 0099-2240

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Official URL: http://dx.doi.org/10.1128/AEM.01541-09

Abstract

mothur aims to be a comprehensive software package that allows users to use a single piece of software to analyze community sequence data. It builds upon previous tools to provide a flexible and powerful software package for analyzing sequencing data. As a case study, we used mothur to trim, screen, and align sequences; calculate distances; assign sequences to operational taxonomic units; and describe the alpha and beta diversity of eight marine samples previously characterized by pyrosequencing of 16S rRNA gene fragments. This analysis of more than 222,000 sequences was completed in less than 2 h with a laptop computer.

Item Type: Journal Article
Subjects: T Technology > TP Chemical technology
Q Science > QR Microbiology
Divisions: Faculty of Science > Life Sciences (2010- ) > Biological Sciences ( -2010)
Journal or Publication Title: Applied and Environmental Microbiology
Publisher: American Society for Microbiology
ISSN: 0099-2240
Date: 1 December 2009
Volume: Vol.75
Number: No.23
Number of Pages: 5
Page Range: pp. 7537-7541
Identification Number: 10.1128/AEM.01541-09
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: College of Natural Resources and the Environment at the University of Massachusetts, Austrian GEN-AU project BIN, Sloan Foundation, National Science Foundation
Grant number: 0743432
URI: http://wrap.warwick.ac.uk/id/eprint/16957

Data sourced from Thomson Reuters' Web of Knowledge

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