RDP Pyrosequencing Pipeline
RDP Pyrosequencing Pipeline: rRNA Gene Sequence Processing and Analysis
RDP Pyrosequencing Pipeline processes and analyzes large 16S rRNA gene sequence libraries generated by pyrosequencing and other high-throughput sequencing technologies, providing aligned and annotated bacterial, archaeal small subunit rRNA, and fungal large subunit rRNA gene data with integrated analytical tools.
Key Features:
- Data Processing: Processes extensive 16S rRNA sequence libraries generated via pyrosequencing, supporting single-stranded and paired-end reads.
- Format Conversion: Converts sequence data into formats compatible with ecological and statistical analysis tools including SPADE, EstimateS, and R.
- Classifier and Aligner Support: Updates Classifier and Aligner tools to support bacterial, archaeal small subunit rRNA, and fungal large subunit rRNA gene collections.
Scientific Applications:
- Microbial Community Analysis: Analyzes environmental microbial diversity, community structure, and ecological patterns using 16S rRNA gene data.
- Statistical Ecology: Enables downstream statistical analysis of microbial datasets in SPADE, EstimateS, and R.
- Custom Bioinformatics Pipelines: Supports development of tailored workflows for high-volume rRNA gene sequencing studies.
Methodology:
The pipeline aligns and annotates rRNA gene sequences from bacterial, archaeal, and fungal sources, processes high-throughput sequencing reads including single-stranded and paired-end data, applies classification and alignment algorithms via Classifier and Aligner, and outputs standardized formats for integration with ecological and statistical analysis platforms.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 1/13/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Cole JR, Wang Q, Fish JA, Chai B, McGarrell DM, Sun Y, Brown CT, Porras-Alfaro A, Kuske CR, Tiedje JM. Ribosomal Database Project: data and tools for high throughput rRNA analysis. Nucleic Acids Research. 2013;42(D1):D633-D642. doi:10.1093/nar/gkt1244. PMID:24288368. PMCID:PMC3965039.