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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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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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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