Multiomics2Targets

Multiomics2Targets analyzes transcriptomics, proteomics, and phosphoproteomics data from cancer cohorts to identify potential drug targets and generate research-publication-like reports.

Key Features:

• Multi-omics Data Integration: Processes transcriptomics, proteomics, and phosphoproteomics data matrices collected from the same cohort of cancer patients.
• Target Identification and Prioritization: Identifies and prioritizes proteins, genes, and transcripts as potential targets using Enrichr, KEA3, ChEA3, Expression2Kinases, and TargetRanger.
• Automated Report Generation: Generates figures, tables, and descriptions of methods and results automatically formatted as research-publication-like reports with abstract, introduction, methods, results, discussion, conclusions, and references.
• Exportable Outputs: Reports are exportable as citable PDFs and Jupyter Notebooks.

Scientific Applications:

• Cancer Target Discovery: Identifies potential targets for each cancer subtype, as demonstrated with the Clinical Proteomic Tumor Analysis Consortium (CPTAC3) pan-cancer cohort.
• Personalized Target Identification: Enables integrative analysis of multi-omics data for personalized target identification in cancer patients.

Methodology:

Uploaded matrices are processed, analyzed, and visualized using Enrichr, KEA3, ChEA3, Expression2Kinases, and TargetRanger.