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SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB

Sequencing ribosomal RNA (rRNA) genes is currently the method of choice for phylogenetic reconstruction, nucleic acid based detection and quantification of microbial diversity. The ARB software suite with its corresponding rRNA datasets has been accepted by researchers worldwide as a standard tool f...

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Autores principales: Pruesse, Elmar, Quast, Christian, Knittel, Katrin, Fuchs, Bernhard M., Ludwig, Wolfgang, Peplies, Jörg, Glöckner, Frank Oliver
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2175337/
https://www.ncbi.nlm.nih.gov/pubmed/17947321
http://dx.doi.org/10.1093/nar/gkm864
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author Pruesse, Elmar
Quast, Christian
Knittel, Katrin
Fuchs, Bernhard M.
Ludwig, Wolfgang
Peplies, Jörg
Glöckner, Frank Oliver
author_facet Pruesse, Elmar
Quast, Christian
Knittel, Katrin
Fuchs, Bernhard M.
Ludwig, Wolfgang
Peplies, Jörg
Glöckner, Frank Oliver
author_sort Pruesse, Elmar
collection PubMed
description Sequencing ribosomal RNA (rRNA) genes is currently the method of choice for phylogenetic reconstruction, nucleic acid based detection and quantification of microbial diversity. The ARB software suite with its corresponding rRNA datasets has been accepted by researchers worldwide as a standard tool for large scale rRNA analysis. However, the rapid increase of publicly available rRNA sequence data has recently hampered the maintenance of comprehensive and curated rRNA knowledge databases. A new system, SILVA (from Latin silva, forest), was implemented to provide a central comprehensive web resource for up to date, quality controlled databases of aligned rRNA sequences from the Bacteria, Archaea and Eukarya domains. All sequences are checked for anomalies, carry a rich set of sequence associated contextual information, have multiple taxonomic classifications, and the latest validly described nomenclature. Furthermore, two precompiled sequence datasets compatible with ARB are offered for download on the SILVA website: (i) the reference (Ref) datasets, comprising only high quality, nearly full length sequences suitable for in-depth phylogenetic analysis and probe design and (ii) the comprehensive Parc datasets with all publicly available rRNA sequences longer than 300 nucleotides suitable for biodiversity analyses. The latest publicly available database release 91 (August 2007) hosts 547 521 sequences split into 461 823 small subunit and 85 689 large subunit rRNAs.
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spelling pubmed-21753372008-01-07 SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB Pruesse, Elmar Quast, Christian Knittel, Katrin Fuchs, Bernhard M. Ludwig, Wolfgang Peplies, Jörg Glöckner, Frank Oliver Nucleic Acids Res Computational Biology Sequencing ribosomal RNA (rRNA) genes is currently the method of choice for phylogenetic reconstruction, nucleic acid based detection and quantification of microbial diversity. The ARB software suite with its corresponding rRNA datasets has been accepted by researchers worldwide as a standard tool for large scale rRNA analysis. However, the rapid increase of publicly available rRNA sequence data has recently hampered the maintenance of comprehensive and curated rRNA knowledge databases. A new system, SILVA (from Latin silva, forest), was implemented to provide a central comprehensive web resource for up to date, quality controlled databases of aligned rRNA sequences from the Bacteria, Archaea and Eukarya domains. All sequences are checked for anomalies, carry a rich set of sequence associated contextual information, have multiple taxonomic classifications, and the latest validly described nomenclature. Furthermore, two precompiled sequence datasets compatible with ARB are offered for download on the SILVA website: (i) the reference (Ref) datasets, comprising only high quality, nearly full length sequences suitable for in-depth phylogenetic analysis and probe design and (ii) the comprehensive Parc datasets with all publicly available rRNA sequences longer than 300 nucleotides suitable for biodiversity analyses. The latest publicly available database release 91 (August 2007) hosts 547 521 sequences split into 461 823 small subunit and 85 689 large subunit rRNAs. Oxford University Press 2007-12 2007-10-18 /pmc/articles/PMC2175337/ /pubmed/17947321 http://dx.doi.org/10.1093/nar/gkm864 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Pruesse, Elmar
Quast, Christian
Knittel, Katrin
Fuchs, Bernhard M.
Ludwig, Wolfgang
Peplies, Jörg
Glöckner, Frank Oliver
SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB
title SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB
title_full SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB
title_fullStr SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB
title_full_unstemmed SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB
title_short SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB
title_sort silva: a comprehensive online resource for quality checked and aligned ribosomal rna sequence data compatible with arb
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2175337/
https://www.ncbi.nlm.nih.gov/pubmed/17947321
http://dx.doi.org/10.1093/nar/gkm864
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