Bioinformatics Core

About Us

The Bioinformatics Core (in the Brown Cancer Center) empowers cancer research by providing data analysis, computational biology, and statistical tools to help researchers navigate complex biological datasets.

The Bioinformatics Core is a core component of the Drug Discovery Platform.

Services

• Omics Data Analysis
  • Transcriptomics: Bulk RNA-Seq, single-cell RNA-Seq (scRNA-seq), and spatial transcriptomics.
  • Genomics: Whole Genome Sequencing (WGS), Whole Exome Sequencing (WES), and variant calling (SNPs/Indels).
  • Epigenomics: ChIP-Seq, ATAC-Seq, and DNA methylation analysis.
  • Microbiome: 16S rRNA sequencing and shotgun metagenomics.
  • Differential Expression: Identifying genes that change between healthy and cancerous states.
  • Pathway & Network Analysis: Using tools like IPA or GSEA to see which biological pathways (e.g., cell cycle, apoptosis) are affected.
  • Survival Analysis: Correlating genomic features with clinical data and patient survival rates.
• Public Data Integration
  • TCGA (The Cancer Genome Atlas): Comparing local findings with thousands of patient samples.
  • GEO/SRA: Re-analyzing publicly available datasets to strengthen a study.
  • Repository Submission: Assisting with the mandatory upload of data to public databases like NCBI GEO.
• Consultation & Grant Support
  • Experimental Design: Determining sample sizes and "power" to ensure results will be statistically significant.
  • Grant Writing: Providing "Letters of Support" and writing the Bioinformatics/Statistical sections for NIH or foundation grants.
  • Manuscript Prep: Creating publication-quality figures (heatmaps, Volcano plots, UMAPs, etc.) and writing the methodology section.

Serving

• UofL Researchers
• External-Academic

Core Acknowledgement

Researchers are strongly encouraged to acknowledge the use of this core facility in publications and presentations. Doing so documents the role of shared infrastructure in advancing UofL research and supports the core’s continued operation and growth.

Consider using the suggested language below when making acknowledgements in your work:

This [publication, project, or research] was made possible, in part, by the Brown Cancer Center Bioinformatics Core at the University of Louisville. 

Core Personnel

Juw Won Park
Director, Bioinformatics Core