open-source, platform-independent, community-supported software for describing and comparing microbial communities
Patrick D. Schloss (Author), Sarah L. Westcott (Author), Thomas Ryabin (Author), Justine R. Hall (Author), Martin Hartmann (Author), Emily B. Hollister (Author), Ryan A. Lesniewski (Author), Brian B. Oakley (Author), Donovan H. Parks (Author), Courtney J. Robinson (Author), Jason W. Sahl (Author), Blaž Stres (Author), Gerhard G. Thallinger (Author), David J. van Horn (Author), Caroly F. Weber (Author)

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 totrim, screen, and align sequences, calculate distances, assign sequences to OTUs, and describe that alfa-and ß-diversity of eight marine samples previously characterized by pyrpsequencing of 16S rRNA gene fragments. This analysis of more than 222,000 sequences was completed in less than 2 hours using laptop computer.

Keywords

mikrobiologija;mikrobne združbe;bioinformatika;mothur;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL BF - Biotechnical Faculty
UDC: 579
COBISS: 2517640 Link will open in a new window
ISSN: 0099-2240
Views: 1633
Downloads: 303
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Unknown
Type (COBISS): Not categorized
Pages: str. 7537-7541
Volume: ǂNo. ǂ23
Issue: ǂVol. ǂ75
Chronology: 2009
DOI: 10.1128/AEM.0541-09
ID: 1033685
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