Cancer Bioinformatics Shared Resource (CBSR) provides comprehensive bioinformatics support for genomic research, including Next Generation Sequencing analysis, data visualization, and access to major genomic databases. We develop innovative tools for cancer research and offer education in computational biology, keeping our approaches up-to-date.

Our Objectives:
1. Foster collaboration with translational clinical and research teams in designing experiments and analyzing genomic datasets.
2. Craft experimental designs that integrate bioinformatics for both intervention and observational studies.
3. Perform comprehensive downstream bioinformatics analyses, including pathway analysis, differential gene expression, and network biology analysis, and provide insightful interpretations of the results.
4. Process and interpret raw genomic data, such as RNA-seq and exome sequencing, and offer advanced genomic data visualization and annotation.
5. Actively contribute to the bioinformatics aspects of grant proposals and manuscripts, working closely with investigators.
6. Regularly review and assess new bioinformatics methodologies for their relevance and application in cancer research projects.
7. Develop custom bioinformatics tools and methods tailored to specific cancer research projects, especially when existing methods are found to be insufficient.

Contact

Director of Cancer Bioinformatics: Alper Uzun, PhD
Email: alper_uzun@brown.edu