Overview
The Computational Biology and Bioinformatics Initiative (CBBI) provides cutting-edge computational infrastructure and bioinformatics expertise, facilitating interdisciplinary research to manage, distribute, and analyze complex datasets. The CBBI specializes in bioinformatics tasks and statistical analyses for genomics and systems biology. Its mission is to position Greehey CCRI and UT Health San Antonio as competitive leaders in applying advanced biomedical technologies and computational methods across a range of biomedical studies.
With support from faculty in the Department of Epidemiology and Biostatistics (DEB), the CBBI offers a comprehensive range of biostatistical services, including but not limited to:
- Data analysis and quality control for genome-wide profiling experiments, including microarray data
- Common bioinformatics tasks such as sequence alignment and genomic annotation
- Assistance with study planning, genomic experiment design, sample size determination, and power analyses
- Development of data analysis tools for hypothesis generation and validation through the integration of genomic and clinical data
- Support for data resources, tools, and protocols that enable investigators to apply and share genomic data for basic and translational research; Clinical informatics support, including database design and application development expertise;
- Computational resources for basic science, translational, clinical, and population-based research, including biomedical image analysis.
Led by Dr. Yidong Chen, the CBBI plays a vital role in advancing Greehey CCRI’s mission. By providing expertise in data-driven and model-based computational research, the CBBI expands research opportunities, enhances the quality and consistency of high-throughput data analysis, and strengthens UT Health San Antonio’s capacity to lead in the genomic and systems biology era.
