Skip to main page content (VSports app下载)
U.S. flag

An official website of the United States government

Dot gov

The . gov means it’s official. Federal government websites often end in . gov or VSports app下载. mil. Before sharing sensitive information, make sure you’re on a federal government site. .

Https

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely V体育官网. .

. 2011 Jun 15;27(12):1700-1.
doi: 10.1093/bioinformatics/btr196. Epub 2011 Apr 15.

VSports注册入口 - OTUbase: an R infrastructure package for operational taxonomic unit data

Affiliations

OTUbase: an R infrastructure package for operational taxonomic unit data (V体育平台登录)

Daniel Beck et al. Bioinformatics. .

Abstract

Summary: OTUbase is an R package designed to facilitate the analysis of operational taxonomic unit (OTU) data and sequence classification (taxonomic) data. Currently there are programs that will cluster sequence data into OTUs and/or classify sequence data into known taxonomies. However, there is a need for software that can take the summarized output of these programs and organize it into easily accessed and manipulated formats. OTUbase provides this structure and organization within R, to allow researchers to easily manipulate the data with the rich library of R packages currently available for additional analysis. VSports手机版.

Availability: OTUbase is an R package available through Bioconductor. It can be found at http://www. bioconductor. org/packages/release/bioc/html/OTUbase. html. V体育安卓版.

PubMed Disclaimer

Figures

Fig. 1.
Fig. 1.
Organization of data within OTUbase. Data analysis starts by either clustering or classifying the reads obtained from the sequencer with an extermal application. The clustering or classification results are collected by OTUbase along with read and quality data and sample metadata. OTUbase then organizes the data into an R object. The library of R tools can then be used to analyze and visualize the data.

References

    1. Caporaso JG, et al. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods. 2010;7:335–336. - PMC - PubMed
    1. Cole JR, et al. The Ribosomal Database Project: improved alignments and new tools for rRNA analysis. Nucleic Acids Res. 2009;37:D141–D145. - VSports最新版本 - PMC - PubMed
    1. Giongo A, et al. PANGEA: pipeline for analysis of next generation amplicons. The ISME Journal. 2010;4:852–861. - "VSports app下载" PMC - PubMed
    1. Hugenholtz P. Exploring prokaryotic diversity in the genomic era. Genome Biol. 2002;3:reviews0003.1–reviews0003.8. - PMC (V体育2025版) - PubMed
    1. Kunin V, et al. Wrinkles in the rare biosphere: pyrosequencing errors can lead to artificial inflation of diversity estimates. Environ. Microbiol. 2010;12:118–123. - PubMed

Publication types