From Raw Omics Data to Drug Targets and Therapies — in One Click

Genome Enhancer offers a fully automated, one-click solution for discovering disease mechanisms and identifying potential drug targets from patient-derived omics data. This pipeline eliminates the need for manual data preprocessing or complex scripting—empowering both bench scientists and clinicians to generate publication-ready insights from their data with just a few inputs.

Whether you’re working with transcriptomics, DNA methylation, or combined datasets, Genome Enhancer delivers a complete, interpretable report—including pathway diagrams, regulatory networks, transcription factor analyses, and prioritized drug candidates.

This solution is ideal for anyone seeking a fast, reproducible, and scientifically validated approach to extract biological meaning from omics data without deep bioinformatics expertise.

Key Features of the One-Click Genome Enhancer Workflow

Graphical Experiment Setup

No coding needed—just upload your omics files and define groups (e.g., control vs. disease) via a simple drag-and-drop interface. Choose between analysis modes (e.g., transcriptomics, epigenomics, or multi-omics).

Automated Multi-Step Analysis Pipeline

Genome Enhancer executes the entire discovery process:

1. Differential Expression & Filtering
   Identifies differentially expressed genes (DEGs) or methylated regions between experimental groups.
   
2. TF Binding Site Enrichment
   Uses TRANSFAC® and MATCH™/CMA to find enriched transcription factor binding motifs.
   
3. Regulatory Network Reconstruction
   Builds disease-specific regulatory networks via TRANSPATH® signaling pathways.
   
4. Master Regulator Detection
   Automatically highlights key signaling molecules that govern the observed omics changes.
   
5. Drug Target Discovery & Prioritization
   Searches drug databases and predicts active compounds targeting key regulators using HumanPSD™ and PASS analysis.
   

Fully Annotated Report

Receive a downloadable, structured report with:

• Pathway maps
  
• Upstream regulator trees
  
• Candidate drug tables
  
• Network diagrams
  
• References and method annotations

Benefits of the One-Click Workflow

• Shortens analysis time from weeks to hours
  
• Removes the need for custom scripting or pipeline assembly
  
• Enables non-bioinformaticians to analyze complex datasets
  
• Produces standardized, publication-ready results
  
• Supports clinical translation with prioritized treatment suggestions
  

Master Regulator Map Example (Generated Automatically)

Below we represent schematically the main mechanism of the studied pathology. The pipeline proposed the following key master regulators:

• PDGFRalpha
• vrk1
• Cdk1-isoform1(h):cyclinB1-isoform1

This result allows us to suggest the following schema of affecting the molecular mechanism of the studied pathology:

Drugs which are shown on this schema: Vandetanib, 6-Nitroindazole, seliciclib, fimepinostat and Pazopanib, should be considered as a prospective research initiative for further drug repurposing and drug development. These drugs were selected as top matching treatments to the most prospective drug targets of the studied pathology, however, these results should be considered with special caution and are to be used for research purposes only, as there is not enough clinical information for adapting these results towards immediate treatment of patients.

The drugs given in dark red color on the schema are FDA approved drugs or drugs which have gone through various phases of clinical trials as active treatments against the selected targets.

The drugs given in pink color on the schema are drugs, which were cheminformatically predicted to be active against the selected targets.

What You’ll Gain

• A reproducible systems biology workflow in a single click
  
• Integration of regulatory genomics and pathway modeling
  
• High-confidence drug target and compound predictions
  
• Visual and interpretable output for biological teams and decision makers