CCMP

CCMP performs automated processing and profiling of 16S ribosomal RNA gene sequencing data to produce taxonomic annotations, abundance profiles, α and β diversity metrics, principal coordinate analyses, and statistical tests for microbiome research.

Key Features:

• Automated Data Processing: Executes taxonomic annotation, abundance profiling, and statistical testing on submitted 16S ribosomal RNA gene sequence data.
• Analysis Outputs: Produces tables and figures including taxonomic annotations, α and β diversity calculations, and principal coordinate analyses (PCoA).
• Scalability and Performance: Utilizes cloud computing to handle large datasets and processed a 125 gigabyte FASTQ input from 1,052 specimens in 21 hours.
• Integration of Technologies: Combines cloud computing infrastructure, fast file transfer technology, and microbiome analysis tools for large-scale data analysis.

Scientific Applications:

• Biomarker Discovery: Identifies microbiota signatures associated with diseases to support discovery of microbial biomarkers and potential therapeutic targets.
• Microbiome Composition and Diversity Studies: Profiles microbiome composition and diversity to examine associations between microbial communities and health or experimental conditions.

Methodology:

Automated execution of taxonomic annotation, abundance profiling, statistical testing, α and β diversity calculations, and principal coordinate analyses on 16S ribosomal RNA gene sequence data in FASTQ format using cloud computing and fast file transfer technology.