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Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities
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 α and β 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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“MOTHUR clustering scores indels as a single gap penalty, and we found it worked to effectively cluster LTR elements into accurate family groups.”
From RepeatModeler2 for automated genomic discovery of transposable element families (2020) · cites this paper as Schloss et al. 2009
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“36)(Schloss et al., 2009) and138 analyzed using the R programming language (R Core Team, 2016).”
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Metadata
- Authors
- Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., Sahl, J. W., Stres, B., Thallinger, G. G., Van Horn, D. J., & Weber, C. F.
- Affiliations
- Department of Microbiology, University of Massachusetts, Amherst, Massachusetts
- Department of Biology, University of New Mexico, Albuquerque, New Mexico
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
- Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas
- Department of Soil, Water, and Climate, University of Minnesota, St. Paul, Minnesota
- Department of Biological Sciences, University of Warwick, Coventry, United Kingdom
- Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan
- Environmental Science and Engineering, Colorado School of Mines, Golden, Colorado
- Department of Animal Science, University of Ljubljana, Ljubljana, Slovenia
- Institute for Genomics and Bioinformatics, Graz University of Technology, Graz, Austria
- Department of Biological Sciences, Louisiana State University, Baton Rouge, Lousiana
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2009-12
- Volume
- 75
- Issue
- 23
- Pages
- 7537-7541
- ISSN
- 0099-2240
- 1098-5336
- Cited by
- 19,549
- References
- 1
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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