Our Approach & Capabilities
Computational Resources
- Workstation Access – High-memory, multi-core desktop, and laptop workstation for fast prototyping, visualization, and interactive analysis.
- High-Performance Computing (HPC) – Access to UVA’s Rivanna HPC cluster for large-scale, parallel processing of omics and imaging data.
Our Approach
We combine deep domain expertise with powerful computational tools to help you turn complex data into compelling results; quickly, reliably, and collaboratively.
Programming & Workflow Languages: R, Python, Bash/Shell scripting for data processing, analysis, and automation.
High-Performance Computing (HPC): Leveraging UVA’s HPC cluster for scalable, high-throughput omics and imaging data analysis.
AI/ML Integration: Applied machine learning for clustering, classification, and predictive modeling in complex datasets.
Bioinformatics Software & Frameworks: Seurat, Scanpy, DESeq2, edgeR, Monocle, Slingshot, CellPhoneDB, NicheNet, ClusPro, AlphaFold, and more.
Visualization & Reporting: Custom, publication-ready plots and dynamic reports in HTML, PDF, and Word formats.
What You Can Expect
Quick Turnaround Time: Efficient, well-established pipelines allow us to analyze and deliver results in a timely manner even for large, multi-terabyte datasets.
Reliable & Reproducible: We follow best practices with transparent, version-controlled analysis.
Collaboration-Centered Model: We don’t just analyze data, we partner with you to interpret findings, refine hypotheses, and support grant writing, manuscript preparation, and scientific presentations.