Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities
Patrick D. SchlossDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, MichiganSarah L. WestcottDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, MichiganThomas RyabinDepartment of Microbiology, University of Massachusetts, Amherst, MassachusettsJustine R. HallDepartment of Biology, University of New Mexico, Albuquerque, New MexicoMartin HartmannDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, CanadaEmily B. HollisterDepartment of Soil and Crop Sciences, Texas A&M University, College Station, TexasRyan A. LesniewskiDepartment of Soil, Water, and Climate, University of Minnesota, St. Paul, MinnesotaBrian B. OakleyDepartment of Biological Sciences, University of Warwick, Coventry, United KingdomDonovan H. ParksFaculty of Computer Science, Dalhousie University, Halifax, NS, CanadaCourtney J. RobinsonDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, MichiganJason W. SahlEnvironmental Science and Engineering, Colorado School of Mines, Golden, ColoradoBlaž StresDepartment of Animal Science, University of Ljubljana, Ljubljana, SloveniaGerhard ThallingerInstitute for Genomics and Bioinformatics, Graz University of Technology, Graz, AustriaDavid J. HornDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, MichiganCarolyn F. WeberDepartment of Biological Sciences, Louisiana State University, Baton Rouge, Lousiana
2009en
ABI
Аннотация
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.
Перевод пока недоступен
Идентификаторы
Цитирования и источники
Цитирований: 3Использованных источников: 0