Bioinformatics and computational biology
Biomedical research has been revolutionized by technologies that generate high throughput data. Research in bioinformatics is focused on representing and analyzing this informational data.
Biomedical research is being revolutionized by new technologies for generating high throughput data. For example, the mRNA counts contained in gene microarrays provide a global view of cellular activity by simultaneously recording the expression levels of thousands of genes. Similarly, new methods for measuring the expression of proteins in cells and tissues and mapping protein-protein interactions are providing rich sources of information for learning about disease mechanisms. Research in bioinformatics in biomedical engineering and computational medicine is currently focused on representing and analyzing such data.
Included in Bioinformatics and Computational Biology Research
- Bioinformatic discovery of novel pharmaceutical targets, specifically in the area of vascular diseases and angiogenesis.
- Computational modeling and systems biology of angiogenesis.
- Computational modeling of how regulatory elements in DNA sequences are structured to control gene expression.
- Development of new machine learning methods for analysis of high throughput data.
- Large scale annotation of human genetic variation.
- Network modeling of protein-protein interactions.
- Predicting the impact of somatic variation in cancer genomes with molecular modeling and comparative genomics.
Associated Faculty
Associated Labs
- Bioinformatics and Computational Biology Lab
- Center for Cardiovascular Bioinformatics and Modeling
- Computational Cardiology Laboratory
- Genetics, Epigenetics and Bioinformatics Laboratory
- Institute for Computational Medicine
- Karchin Lab
- Microvascular Development and Remodeling Laboratory
- Systems Biology Laboratory
- The Timp Lab
