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Published on: December 2, 2009
The Ribosomal Database Project (RDP-II): sequences and tools for high-throughput rRNA analysis
1Center for Microbial Ecology, Michigan State University, East Lansing, MI 48824-4320, USA. rdpstaff@msu.edu
Nucleic Acids Research
|December 21, 2004
Summary
The Ribosomal Database Project (RDP-II) offers aligned bacterial rRNA gene sequences and analysis tools. This resource aids researchers in taxonomic placement and understanding microbial community structures.
Area of Science:
- Microbiology
- Bioinformatics
- Genomics
Background:
- The Ribosomal Database Project (RDP-II) is a crucial resource for microbial ecology and evolutionary biology.
- Access to aligned and annotated rRNA gene sequences is essential for accurate taxonomic classification and phylogenetic analysis.
- Existing databases may lack comprehensive, phylogenetically consistent taxonomic frameworks.
Purpose of the Study:
- To provide the research community with an updated and expanded collection of aligned and annotated rRNA gene sequences.
- To offer robust analysis services and a reliable taxonomic framework for bacterial rRNA data.
- To facilitate high-throughput data analysis for microbial identification and research.
Main Methods:
- Monthly updates of the RDP-II database, incorporating new sequence data.
- Alignment and annotation of bacterial small subunit (SSU) rRNA gene sequences.
- Development and provision of high-throughput analysis tools for sequence data.
Main Results:
- RDP-II release 9.21 (August 2004) contains 101,632 bacterial SSU rRNA gene sequences.
- Sequences are provided in aligned and annotated formats.
- Tools are available for taxonomic placement, sequence identification, probe/primer testing, and data navigation.
Conclusions:
- RDP-II serves as a vital, continuously updated resource for researchers studying bacterial diversity and evolution.
- The project's integrated approach of data, tools, and taxonomic framework enhances microbial research capabilities.
- The website and provided tools streamline complex rRNA data analysis for a broad scientific audience.
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