METAGENassist

METAGENassist performs comparative metagenomic analyses by accepting 16S rRNA gene sequences and Next Generation shotgun sequencing data, mapping taxonomic information to phenotypic traits across nearly 20 functional categories (including GC content, genome size, oxygen requirements, energy sources, and preferred temperature ranges), and supporting statistical and multivariate analyses.

Key Features:

• Data Input Flexibility: Accepts 16S rRNA gene sequences and Next Generation shotgun sequencing data for analysis of bacterial census data.
• Automated Taxonomic-to-Phenotypic Mapping: Automatically maps taxonomic information to phenotypic traits across nearly 20 functional categories, including GC content, genome size, oxygen requirements, energy sources, and preferred temperature ranges.
• Comprehensive Data Analysis: Implements fold change analysis, t-tests, principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), clustering, and classification.
• Metadata Integration: Integrates metadata such as environmental conditions, culture parameters, and host characteristics for contextualized analyses.

Scientific Applications:

• Comparative metagenomics across environmental samples: Comparative analysis of microbial community composition between distinct environmental samples.
• Analysis of culture condition effects: Assessment of microbial community differences across culture conditions.
• Host-associated microbiome investigations: Comparative profiling of microbial communities associated with different hosts.
• Ecological and clinical studies: Application of statistical and phenotypic profiling to ecological research and clinical investigations.

Methodology:

Automated taxonomic-to-phenotypic mapping for data enrichment and execution of statistical and multivariate analyses, including fold change analysis, t-tests, PCA, PLS-DA, clustering, and classification.