Статья

The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

Christian QuastMicrobial Genomics and Bioinformatics Research Group, Max Planck Institute for Marine Microbiology, D-28359 Bremen, GermanyElmar PruesseMicrobial Genomics and Bioinformatics Research Group, Max Planck Institute for Marine Microbiology, D-28359 Bremen, 2Jacobs University Bremen gGmbH, School of Engineering and Science, D-28759 Bremen and 3Ribocon GmbH, D-28359 Bremen, GermanyPelin YilmazMicrobial Genomics and Bioinformatics Research Group, Max Planck Institute for Marine Microbiology, D-28359 Bremen, 2Jacobs University Bremen gGmbH, School of Engineering and Science, D-28759 Bremen and 3Ribocon GmbH, D-28359 Bremen, GermanyJan GerkenMicrobial Genomics and Bioinformatics Research Group, Max Planck Institute for Marine Microbiology, D-28359 Bremen, 2Jacobs University Bremen gGmbH, School of Engineering and Science, D-28759 Bremen and 3Ribocon GmbH, D-28359 Bremen, GermanyTimmy SchweerMicrobial Genomics and Bioinformatics Research Group, Max Planck Institute for Marine Microbiology, D-28359 Bremen, 2Jacobs University Bremen gGmbH, School of Engineering and Science, D-28759 Bremen and 3Ribocon GmbH, D-28359 Bremen, GermanyPablo YarzaMicrobial Genomics and Bioinformatics Research Group, Max Planck Institute for Marine Microbiology, D-28359 Bremen, 2Jacobs University Bremen gGmbH, School of Engineering and Science, D-28759 Bremen and 3Ribocon GmbH, D-28359 Bremen, GermanyJörg PepliesMicrobial Genomics and Bioinformatics Research Group, Max Planck Institute for Marine Microbiology, D-28359 Bremen, 2Jacobs University Bremen gGmbH, School of Engineering and Science, D-28759 Bremen and 3Ribocon GmbH, D-28359 Bremen, GermanyFrank Oliver Glöckner1Microbial Genomics and Bioinformatics Research Group, Max Planck Institute for Marine Microbiology, D-28359 Bremen, 2Jacobs University Bremen gGmbH, School of Engineering and Science, D-28759 Bremen and 3Ribocon GmbH, D-28359 Bremen, Germany

2012en

ABI

Аннотация

SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.

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Идентификаторы

DOI: 10.1093/nar/gks1219

Цитирования и источники

Цитирований: 12Использованных источников: 0

Показатели — AkademScholar