About this Biochemistry, Genetics and Molecular Biology article
The SILVA ribosomal RNA gene database project: improved data processing and web-based tools by Christian Quast; Elmar Pruesse; Pelin Yilmaz; Jan Gerken; Timmy Schweer; Pablo Yarza; Jörg Peplies; Frank Oliver Glöckner is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
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.
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Christian Quast; Elmar Pruesse; Pelin Yilmaz; Jan Gerken; Timmy Schweer; Pablo Yarza; Jörg Peplies; Frank Oliver Glöckner
- Publisher
- Oxford University Press; London: Information Retrieval; Oxford: Oxford University Press; Oxford University Press (OUP) (ISSN 0305-1048)
- Published
- 2012
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)