Data Science Core Facility

The WV-INBRE Data Science Core provides access to cutting-edge AI platforms and computational tools for biomedical research. We specialize in multi-omics analysis, single-cell data translation, and biological network analysis through our partnership with leading computational biology platforms.

Core Services

Access to advanced AI and machine learning platforms
Multi-omics data analysis and integration
Single-cell RNA-seq and ATAC-seq analysis
Biological knowledge base and network analysis
Training on cutting-edge computational tools
Data science consultation and support

Full-Service Workflow

Step 1

Initial Consultation

Meet with Data Science Core staff to formulate experimental design and discuss computational needs

1-2 meetings
Step 2

Project & Grant Planning

Receive expected outcomes, cost quote, and estimated time to completion for analysis

Within 1 week
Step 3

Service Execution

Core performs data analysis, AI/ML modeling, or provides computational resources

Varies by project
Step 4

Data Review

Core staff meets with investigator to review results, interpret findings, and address concerns

1-2 meetings

AI Platforms & Tools

G2PDeep Platform logo

G2PDeep Platform

AI Platform
Access Tool

Multi-omics phenotype prediction and marker discovery using deep learning

Deep learning for multi-omics integrationAutomated hyperparameter tuningBiomarker discovery and visualizationGene Set Enrichment Analysis (GSEA)
crossMP Platform logo

crossMP Platform

AI Platform
Access Tool

Cross-modality translation between single-cell RNA-seq and single-cell ATAC-seq data

Deep neural network modeling for modality translationUpload one modality, predict the otherSingle-cell multi-omics integrationWeb-based portal with intuitive interface
KBCommons logo

KBCommons

Knowledge Base
Access Tool

Knowledge Base Commons for biological data integration, sharing, and community-driven annotation

Integrated biological databases and knowledge graphsData sharing and collaboration toolsStandardized data formats and ontologiesCommunity annotation and curation features
IRNet logo

IRNet

Network Analysis Tool
Access Tool

Interaction Network analysis tools and databases for regulatory and protein networks

Protein-protein interaction networksGene regulatory networks and pathway analysisNetwork visualization and analysis toolsComparative network analysis across species

Core Team

Dr. Jim Denvir
Dr. Jim Denvir

Core Director

Marshall University

denvir@marshall.edu

Dr. Mohit Verma
Dr. Mohit Verma

Research Assistant Professor

Marshall University

vermam@marshall.edu

Dr. Mohammad Vahed
Dr. Mohammad Vahed

Research Assistant Professor

Marshall University

vahed@marshall.edu

Dr. Yen On Chan
Dr. Yen On Chan

Postdoctoral Fellow

Marshall University

chany@marshall.edu

Dr. Zhen Lyu
Dr. Zhen Lyu

Postdoctoral Fellow

Marshall University

lyuz@marshall.edu

Dr. Alejandro Nato
Dr. Alejandro Nato

Associate Professor

Marshall University

nato@marshall.edu

Dr. Nicole Garrison
Dr. Nicole Garrison

Assistant Professor

West Liberty University

nicole.garrison@westliberty.edu

Dr. Michael Gangqing Hu
Dr. Michael Gangqing Hu

Assistant Professor

West Virginia University

michael.hu@hsc.wvu.edu

Publication Requirements

When publishing results derived from Data Science Core services, please include the following acknowledgments:

  • Please acknowledge the Data Science Core Facility
  • Please acknowledge the Bioinformatics Core Facility
  • Cite the WV-INBRE grant: P20GM103434
NIH Logo
Funding:WV-INBRE (P20GM103434)

Supported by the National Institutes of Health (NIH)