POMAShiny

POMAShiny provides statistical analysis and interpretation of metabolomics and proteomics data for biomarker discovery and precision medicine.

Key Features:

• Integrated statistical methods: Incorporates a variety of statistical methods used in omics analyses to enable comprehensive and flexible analysis of metabolomics and proteomics data.
• Dataset flexibility: Supports diverse metabolomics and proteomics datasets and adaptable workflows suitable for different experimental designs.
• POMA R/Bioconductor foundation: Built on the POMA R/Bioconductor package to support reproducibility and facilitate extension of analyses outside the environment.

Scientific Applications:

• Biomarker discovery: Facilitates identification of metabolite and protein biomarkers through statistical analysis and biological interpretation.
• Precision medicine: Supports molecular profiling and sample stratification using metabolomics and proteomics data to inform precision medicine studies.

Methodology:

Built on the POMA R/Bioconductor package and supports performing analyses within a web environment while enabling extension of analyses outside that environment.