GMIEC

GMIEC integrates multi-omics datasets to identify patient-specific genomic modules and prioritize drug targets for precision medicine.

Key Features:

• Multi-Omics Data Integration: Integrates RNA-sequencing, copy-number variation, methylation profiles, Chromatin Immuno-Precipitation sequencing (ChIP-seq), and Exome/Whole Genome sequencing data for single-patient-level analysis.
• Identification of Genomic Modules: Detects groups of genes with shared genomic alterations, including copy number variations and deregulated genes, to define genomic modules.
• Drug Target Identification: Correlates genomic data with known drug-gene interactions to prioritize potential pharmacological targets tailored to individual genetic profiles.
• Clinical Data Inclusion: Incorporates clinical data alongside omics information to enhance contextual interpretation of genomic alterations.
• Modular Architecture: Comprises GMIEC-AN for analysis, GMIEC-VIS for visualization of genomic modules and associated drug targets, and GMIEC-RES for results exploration.

Scientific Applications:

• Prostate cancer analysis: Applied to prostate cancer datasets to identify disease-specific genomic alterations and candidate drug targets.
• Precision medicine: Supports the integration of multi-omics and clinical data to inform patient-specific therapeutic strategy prioritization.

Methodology:

Integrates RNA-seq, copy-number variation, methylation profiles, ChIP-seq, and Exome/Whole Genome sequencing data; identifies gene groups/modules with shared genomic alterations; correlates genomic modules with known drug-gene interactions; incorporates clinical data; implements analysis, visualization, and results exploration via GMIEC-AN, GMIEC-VIS, and GMIEC-RES.