Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities
Patrick D. Schloss(University of Massachusetts Amherst), Sarah L. Westcott(University of Massachusetts Amherst), Thomas Ryabin(University of Massachusetts Amherst), Justine R. Hall(University of New Mexico), Martin Hartmann(University of British Columbia), Emily B. Hollister(Texas A&M University), Ryan A. Lesniewski(University of Minnesota), Brian B. Oakley(University of Warwick), Donovan H. Parks(Dalhousie University), Courtney J. Robinson(University of Michigan), Jason W. Sahl(Colorado School of Mines), Blaž Stres(University of Ljubljana), Gerhard Thallinger(Graz University of Technology), David J. Horn(University of Michigan), Carolyn F. Weber(Louisiana State University)
Cited by 21,689Open Access
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.
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