Genomic Bioinformatics
Turning sequence and variation data into clearer decisions for discovery.
At BioRacc
Computation in service of human health
Genomic bioinformatics at BioRacc connects sequence analysis, variation mapping, and statistical learning to infectious-disease questions. We use computational pipelines to reveal patterns that inform target selection, resistance surveillance, and personalized therapeutic thinking.
Approaches
Methods you will see in practice
- Sequence alignment and comparative genomics
- Variant and resistance-pattern analysis
- ML-assisted interpretation of genomic datasets
- Pipelines that feed target and inhibitor programs
Related capabilities
Continue exploring
Drug Discovery
From target hypothesis to prioritized candidates for infectious disease.
Read moreMolecular Dynamics Simulations
Watching proteins and ligands move—so binding hypotheses survive real motion.
Read moreAI & Statistical Methods
Models and pipelines that turn complex biomedical data into clearer decisions.
Read moreSmall-Molecule Optimization
Improving potency and reducing liabilities through iterative design.
Read more
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Whether you are a TSU student, graduate trainee, or faculty collaborator—choose the path that fits and contact the right person.
Open to Texas Southern University students, faculty, and collaborators.