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Ribosomal Database Project: data and tools for high throughput rRNA analysis
Ribosomal Database Project (RDP; http://rdp.cme.msu.edu/) provides the research community with aligned and annotated rRNA gene sequence data, along with tools to allow researchers to analyze their own rRNA gene sequences in the RDP framework. RDP data and tools are utilized in fields as diverse as h...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965039/ https://www.ncbi.nlm.nih.gov/pubmed/24288368 http://dx.doi.org/10.1093/nar/gkt1244 |
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author | Cole, James R. Wang, Qiong Fish, Jordan A. Chai, Benli McGarrell, Donna M. Sun, Yanni Brown, C. Titus Porras-Alfaro, Andrea Kuske, Cheryl R. Tiedje, James M. |
author_facet | Cole, James R. Wang, Qiong Fish, Jordan A. Chai, Benli McGarrell, Donna M. Sun, Yanni Brown, C. Titus Porras-Alfaro, Andrea Kuske, Cheryl R. Tiedje, James M. |
author_sort | Cole, James R. |
collection | PubMed |
description | Ribosomal Database Project (RDP; http://rdp.cme.msu.edu/) provides the research community with aligned and annotated rRNA gene sequence data, along with tools to allow researchers to analyze their own rRNA gene sequences in the RDP framework. RDP data and tools are utilized in fields as diverse as human health, microbial ecology, environmental microbiology, nucleic acid chemistry, taxonomy and phylogenetics. In addition to aligned and annotated collections of bacterial and archaeal small subunit rRNA genes, RDP now includes a collection of fungal large subunit rRNA genes. RDP tools, including Classifier and Aligner, have been updated to work with this new fungal collection. The use of high-throughput sequencing to characterize environmental microbial populations has exploded in the past several years, and as sequence technologies have improved, the sizes of environmental datasets have increased. With release 11, RDP is providing an expanded set of tools to facilitate analysis of high-throughput data, including both single-stranded and paired-end reads. In addition, most tools are now available as open source packages for download and local use by researchers with high-volume needs or who would like to develop custom analysis pipelines. |
format | Online Article Text |
id | pubmed-3965039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39650392014-03-25 Ribosomal Database Project: data and tools for high throughput rRNA analysis Cole, James R. Wang, Qiong Fish, Jordan A. Chai, Benli McGarrell, Donna M. Sun, Yanni Brown, C. Titus Porras-Alfaro, Andrea Kuske, Cheryl R. Tiedje, James M. Nucleic Acids Res IV. Viruses, bacteria, protozoa and fungi Ribosomal Database Project (RDP; http://rdp.cme.msu.edu/) provides the research community with aligned and annotated rRNA gene sequence data, along with tools to allow researchers to analyze their own rRNA gene sequences in the RDP framework. RDP data and tools are utilized in fields as diverse as human health, microbial ecology, environmental microbiology, nucleic acid chemistry, taxonomy and phylogenetics. In addition to aligned and annotated collections of bacterial and archaeal small subunit rRNA genes, RDP now includes a collection of fungal large subunit rRNA genes. RDP tools, including Classifier and Aligner, have been updated to work with this new fungal collection. The use of high-throughput sequencing to characterize environmental microbial populations has exploded in the past several years, and as sequence technologies have improved, the sizes of environmental datasets have increased. With release 11, RDP is providing an expanded set of tools to facilitate analysis of high-throughput data, including both single-stranded and paired-end reads. In addition, most tools are now available as open source packages for download and local use by researchers with high-volume needs or who would like to develop custom analysis pipelines. Oxford University Press 2014-01-01 2013-11-27 /pmc/articles/PMC3965039/ /pubmed/24288368 http://dx.doi.org/10.1093/nar/gkt1244 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | IV. Viruses, bacteria, protozoa and fungi Cole, James R. Wang, Qiong Fish, Jordan A. Chai, Benli McGarrell, Donna M. Sun, Yanni Brown, C. Titus Porras-Alfaro, Andrea Kuske, Cheryl R. Tiedje, James M. Ribosomal Database Project: data and tools for high throughput rRNA analysis |
title | Ribosomal Database Project: data and tools for high throughput rRNA analysis |
title_full | Ribosomal Database Project: data and tools for high throughput rRNA analysis |
title_fullStr | Ribosomal Database Project: data and tools for high throughput rRNA analysis |
title_full_unstemmed | Ribosomal Database Project: data and tools for high throughput rRNA analysis |
title_short | Ribosomal Database Project: data and tools for high throughput rRNA analysis |
title_sort | ribosomal database project: data and tools for high throughput rrna analysis |
topic | IV. Viruses, bacteria, protozoa and fungi |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965039/ https://www.ncbi.nlm.nih.gov/pubmed/24288368 http://dx.doi.org/10.1093/nar/gkt1244 |
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