Chordomics

Chordomics visualizes relationships between microbial phylogeny and function by integrating metagenomics, metatranscriptomics, and metaproteomics into a unified visualization that displays taxonomic and functional information on a single plot.

Key Features:

• Multi-omics integration: Integrates metagenomics, metatranscriptomics, and metaproteomics datasets into a cohesive analytical framework.
• Combined taxonomic and functional visualization: Displays taxonomic and functional information together on a single plot to link phylogeny and function.
• Linked -omics handling: Supports analysis of linked -omics data to preserve relationships between different molecular layers.
• Comparative analyses: Enables comparisons across datasets to investigate changes across temporal and environmental contexts.
• Dataset annotation and comparison: Supports annotation and comparative analysis of multiple microbiome datasets.
• Implementation languages: Implemented using R and JavaScript.

Scientific Applications:

• Linking phylogeny and function: Mapping taxonomic identities to functional annotations to identify phylogenetic contributions to community function.
• Temporal and environmental microbiome studies: Comparing microbiome composition and function across time series or different environmental conditions.
• Integrated multi-omics analysis: Joint analysis of metagenomic, metatranscriptomic, and metaproteomic data to assess molecular-level activity and functional potential.
• Functional network discovery: Identifying functional links and associations within microbial communities.

Methodology:

Implemented in R and JavaScript and developed as a Shiny application; integrates metagenomics, metatranscriptomics, and metaproteomics to visualize taxonomic and functional annotations on a single plot and to support linked -omics comparative analyses.