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

Проект базы данных генов рибосомной РНК SILVA: усовершенствованная обработка данных и веб-инструменты
Frank Oliver Glöckner, Christian Quast, Elmar Pruesse, Pelin Yilmaz, Jan Gerken, Timmy Schweer, Pablo Yarza, Jörg Peplies
2012-11-27

SILVA rRNA databasehigh-throughput sequence classificationquality controlrRNA gene alignmentribosomal RNA gene sequences
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.
1
Curated taxonomy and non-redundant SILVA datasets provide reference resources for high-throughput classification of next-generation sequencing data.
2
New web tools support probe and primer evaluation, while optimized browsing, searching, and downloading improve user access to the databases.
3
SILVA provides comprehensive, quality-controlled, aligned rRNA gene databases covering Bacteria, Archaea, and Eukaryota, together with supplementary web services.
4
SILVA release 111 contained 3,194,778 small-subunit and 288,717 large-subunit rRNA gene sequences.
5
The project introduced advanced quality-control procedures and an improved rRNA gene aligner to enhance database data processing.

The SILVA ribosomal RNA (rRNA) gene sequence database and its web-based resource

Data processing, quality control, alignment, taxonomy curation, and web-based access and analysis tools for rRNA gene sequence databases

Publication Details
Publication Date
2012-11-27
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Frank Oliver Glöckner
Christian Quast
Elmar Pruesse
Pelin Yilmaz
Jan Gerken
Timmy Schweer
Pablo Yarza
Jörg Peplies
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%