OmicsX

OmicsX: Integrated Multi-Omic Data Analysis Platform

OmicsX integrates and compares multi-omic datasets, including genomics, transcriptomics, proteomics, glycomics, lipitomics, metabolomics, and modified biological molecules, to characterize molecular interactions across biological systems.

Key Features:

• Multi-Omic Integration and Comparison: Integrates and compares heterogeneous omic datasets to identify cross-omics relationships.
• Sample Annotation Support: Incorporates optional sample annotation data for stratified analysis and interpretation.
• Gene-wise Correlation Analysis: Quantifies gene-level correlations across datasets to detect co-regulation and inter-omics associations.
• Sample-wise Correlation Analysis: Computes correlations between samples to identify shared molecular patterns.
• Subtype Clustering: Performs molecular profile-based clustering to define biological or disease subtypes.
• Differential Expression Analysis: Identifies differentially expressed genes or molecules across conditions and datasets.
• Pathway and Phenotype Association: Analyzes enriched biological pathways and associated phenotypes from integrated datasets.
• Biological Indication Inference: Infers potential biological indications through comparative multi-omic analysis.

Scientific Applications:

• Systems Biology and Disease Research: Elucidates multi-layer molecular mechanisms, identifies diagnostic or prognostic biomarkers, and supports therapeutic target discovery in complex diseases.

Methodology:

OmicsX applies bioinformatic algorithms to process and integrate large-scale multi-omic datasets, performing correlation analysis, clustering, differential expression analysis, and pathway enrichment to derive cross-omics molecular associations.