Brown Cancer Center Bioinformatics Core
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About
The Brown Cancer Center (BCC) Bioinformatics Core (BC) plays a vital role in cancer research by providing BCC researchers with the tools and expertise they need to analyze large datasets. We use our expertise in data analysis, computational biology, and statistical methods to help cancer researchers make sense of complex biological data and accelerate the pace of discovery.
Services & Rates
- Data management: Help researchers manage large datasets, including high-throughput sequencing data, genomic data, clinical data, and imaging data.
- Data analysis: BC can help researchers analyze data using a variety of statistical and computational methods to generate results for publications and grant applications.
- Differential Gene Expression (DEG) analysis
- Alternative Splicing analysis
- RNA-binding protein (RBP) motif enrichment analysis
- Gene Ontology (GO) enrichment analysis
- Pathway analysis
- Single Nucleotide Variant (SNV) analysis
- Gene fusion detection
- Imaging Mass Cytometry (IMC) data analysis
- Data visualization: BC can help researchers visualize data in a way that is easy to understand and interpret.
- Training: BC can provide training to BCC researchers on bioinformatics methods and tools.
At present, there are no fees associated with this service. However, a fee-based model may be considered for future operations.
All research investigators at the UofL have access to the Brown Cancer Center Bioinformatics Core. Before being added to the queue, bioinformatics support requests are carefully reviewed to ensure efficient prioritization and resource allocation.
