 BCL serves the Bioinformatics and Biostatistics Unit of the Research Infrastructure Core, Border Biomedical Research Center at UTEP, funded by the National Institute of Health (NIH Grant #5U54MD007592). With a panel of consulting faculty from the departments of Biological Sciences, Chemistry, Computer Science, Electrical and Computer Engineering, and Mathematical Sciences, our bioinformatics computing support ranges from mathematical modeling to software usage, genomic and biomolecule analysis, including both the computational and experimental components in biomedical research. In particular, we provide services in developing databases and software for genomics and proteomics data analysis, biomolecular sequence analysis and structure prediction, and glycosylation site prediction. These research tools are implemented with the equipment in BCL, its satellite sites, and other high-performance computing facilities on UTEP campus. Web-based, user-friendly interfaces are built for these bioinformatics software tools to be utilized primarily by researchers in the border region. To enhance our support for cancer prevention and research with the concept of personalized medicine at a state level, BCL is also involved in developing reliable algorithms for digital patient ID systems using secure tags integrated with large-scale bioinformatics databases.
The following bioinformatics computing tools are available for open access; please contact us for further support services. |
