The SILVA ribosomal RNA database project

Max Planck Institute for Marine Microbiology and Jacobs University, Bremen, Germany


For any question please send a message to:

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If you find SILVA a useful resource for your research or applications please cite:

Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glöckner FO (2013) The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Opens external link in new windowNucl. Acids Res. 41 (D1): D590-D596.

Yilmaz P, Parfrey LW, Yarza P, Gerken J, Pruesse E, Quast C, Schweer T, Peplies J, Ludwig W, Glöckner FO (2014) The SILVA and "All-species Living Tree Project (LTP)" taxonomic frameworks. Opens external link in new windowNucl. Acids Res. 42:D643-D648

The first SILVA paper:

Pruesse E, Quast C, Knittel K, Fuchs BM, Ludwig WG, Peplies J, Glöckner FO (2007) SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB. Nucl. Acids Res. 35:7188-7196

If you use SINA please cite:

Pruesse, E, Peplies, J and Glöckner, FO (2012) SINA: accurate high-throughput multiple sequence alignment of ribosomal RNA genes. Opens external link in new windowBioinformatics, 28, 1823-1829

For primer evaluation consider:

Klindworth A, Pruesse E, Schweer T, Peplies J, Quast C, Horn M, Glöckner FO (2013) Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Opens external link in new windowNucl. Acids Res. 41:e1

If you use ARB:

Westram R, Bader K, Pruesse E, Kumar Y, Meier H, Glöckner FO, Ludwig W (2011) ARB: a software environment for sequence data. In: de Bruijn FJ (ed) Handbook of Molecular Microbial Ecology I: Metagenomics and Complementary Approaches.Opens external link in new window John Wiley & Sons, Inc., pp 399-406

For the "All Species Living Tree Project":

Opens internal link in current windowplease visit the project page for a list of publications



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