Bioinformatics & Computational Biology

The focus of research in the Bioinformatics and Computational Biology department is microarray data analysis, reverse-phase protein array analysis, biomarker identification, drug target discovery, functional genomics and proteomics, coding sequence analysis, cross-validation analysis, forensic applications of genetics and the analysis of genetic trait inheritance. Other areas of specialization include analyzing the effects of radiotherapy, cell population dynamics, molecular confirmation studies, modeling biological processes, computer-assisted diagnosis, computer-assisted image interpretation, statistical graphics, and the analysis of cell cycle regulatory proteins.

Goals

The goals of Bioinformatics and Computational Biology are to conduct collaborative research with clinical and basic science departments, and to support the need for quantitative sciences in the fields of genomics, proteomics, radiotherapy, molecular and cell biology, computer-assisted diagnoses, and image analysis.

Members of the department develop statistically rigorous solutions for the design and analysis of high-throughput molecular profiling technologies in cancer research, and provide data analysis, acquisition, curation and retrieval tools to complement the related laboratory services operated within the institution.

Metabolomics facility

This core facility is supported by the Department of Bioinformatics & Computational Biology.  It was established through a CPRIT grant for which John Weinstein, M.D., Ph.D. serves as principal investigator. Phil Lorenzi, Ph.D., serves as the director of the metabolomics section of the facility.

Educational Program

Quantitative Sciences at the MD Anderson UTHealth Graduate School of Biomedical Sciences