STATegRa

STATegRa integrates genomics, transcriptomics, proteomics, and metabolomics data to enable statistical multi-omics analyses for elucidating molecular mechanisms in biological systems and disease.

Key Features:

• Integrative Omics Analysis: Integrates genomics, transcriptomics, proteomics, and metabolomics datasets for combined analysis.
• Bioconductor R package: Implemented as a Bioconductor R package to operate within the R/Bioconductor ecosystem.
• STATegraEMS: Provides statistical modeling and estimation methods for multi-omics data.
• STATegRa component: Implements integrative analysis workflows for combining and analyzing multiple omics layers.

Scientific Applications:

• Systems Biology: Supports systems-level investigation by integrating multiple omics layers to study molecular mechanisms.
• Personalized Medicine: Enables multi-omics analyses relevant to patient stratification and biomarker identification.
• Disease Research: Facilitates identification of disease-associated molecular signatures through integrative analysis.
• Biomarker Discovery: Aids identification of biomarkers across omics layers.
• Gene Regulatory Network Analysis: Supports elucidation of gene regulatory networks using integrated omics data.
• Therapeutic Target Discovery: Supports discovery of novel therapeutic targets by combining multi-layer molecular data.

Methodology:

Integration of genomics, transcriptomics, proteomics, and metabolomics data; statistical modeling and estimation implemented via STATegraEMS; implemented as a Bioconductor R package.