OTUbase

OTUbase organizes OTU and taxonomic summary data into R-accessible structures for downstream analysis of microbial community composition and diversity from high-throughput sequencing experiments.

Key Features:

• Data Organization and Accessibility: Organizes OTU and taxonomic data into formats suitable for computational manipulation and analysis.
• Integration with R Environment: Implemented as an R package on Bioconductor and compatible with the R ecosystem for analysis, statistical modeling, and visualization.
• Facilitation of Advanced Analysis: Structures OTU and taxonomic data to enable advanced statistical, ecological, and diversity analyses within R.

Scientific Applications:

• Microbial ecology and metagenomics: Supports analysis of microbial community composition and diversity in microbial ecology and metagenomics studies.
• High-throughput sequencing data analysis: Facilitates downstream analysis of summarized outputs from sequence clustering and classification programs generated by high-throughput sequencing experiments.
• Statistical and exploratory analysis: Enables statistical analyses, modeling, and visualization of OTU-based datasets using R packages.

Methodology:

OTUbase takes summarized outputs from sequence clustering and classification programs and organizes them into R data structures for subsequent analysis.