Project Details
Projekt
SILVAngs: The next Generation analysis system for ribosomal RNA genes
Applicant
Professor Dr. Frank Oliver Glöckner
Subject Area
Bioinformatics and Theoretical Biology
Term
from 2011 to 2021
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 186840243
The SILVA ribosomal RNA databases were established in 2007 to provide high-quality reference databases of aligned rRNA gene sequences for all three domains of life. With the discontinuation of the "European Ribosomal RNA Database Project", SILVA became the authoritative rDNA database project for Europe. With the dramatic change in sequencing technologies and capacities, the possibilities for analysis and inventory of microbial diversity ranging from Bacteria and Archaea to small Eukaryota have reached an unprecedented dimension. Fuelled by nearly unlimited capacities, a typical project does no longer consist of several hundreds of cloned rDNA sequences, but of thousands to millions of rDNA amplicon tags produced by next generation sequencing technologies (NGS). The pure capacity to produce data, as well as the sheer amount of available data does not "per se" result in the production of biological knowledge. To advance science and application, researchers in academia and industry must be enabled to: 1. analyse their data and 2. compare their data. Consequently, the goal of this application is to: 1. extend the SILVAngs analysis pipeline with innovative analysis tools including statistical analysis, 2. facilitate incentives making SILVAngs projects results publicly available, 3. process a set of publicly available, experimentally well designed, highly contextualized, high quality rDNA datasets (flagships) of the "Sequence Read Archive" with the SILVAngs pipeline. Over time this will result in a growing reference data set of high quality rRNA gene NGS projects publicly available for in depth comparisons across biological domains. The overall objective of this application is to facilitate and standardize the processing of amplicon based rRNA marker gene data, enhance the archiving of richly contextualized NGS sequences in the public repository´s (INSDC), as well as improving the re-usability of sequence data in SRA
DFG Programme
Research data and software (Scientific Library Services and Information Systems)
International Connection
United Kingdom
