From writing software to modeling protein interactions, a bioinformatics career outlook is strengthened by the complexity of their specialized skill set. The interdisciplinary nature of bioinformatics ...

RBIF 112: Mathematical Modeling for Bioinformatics The development of new bioinformatics tools typically involves some form of data modeling, prediction or optimization. This course introduces various ...

Secondly, we are interested in bioinformatics model development for reapplying it to other diseases that have complex genetic causes - such as neurodegenerative diseases like Parkinson's.

In this dynamic bioinformatics BS, biology and computing combine to analyze big data collected by the health industry to discover, diagnose, and treat a wide range of medical conditions.

Other translational bioinformatics research conducted by the department includes integrative systems biology modeling of glioblastoma, leukemia, breast cancer, and other cancer types and integrative ...

Secondly, we are interested in bioinformatics model development for reapplying it to other diseases that have complex genetic causes -- such as neurodegenerative diseases like Parkinson's.

Advancements in artificial intelligence (AI) are dramatically transforming the field of protein science, offering powerful ...

Mathematical modeling is being applied to increasingly complex biological systems and datasets; however, the process of analyzing and calibrating against experimental data is often challenging and a ...

The development of new bioinformatics tools typically involves some form of data modeling, prediction or optimization. This course introduces various modeling, prediction, and machine learning ...

Secondly, we are interested in bioinformatics model development for reapplying it to other diseases that have complex genetic causes – such as neurodegenerative diseases like Parkinson's.