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.
biology and computational medicine
- 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.
Faculty working in this area
Joel Bader Ph.D.
Yuan Gao Ph.D.
Joseph Greenstein Ph.D.
Rachel Karchin Ph.D.
Feilim Mac Gabhann Ph.D.
Aleksander Popel Ph.D.
Sridevi Sarma Ph.D.
Alexander Spector Ph.D.
Winston Timp Ph.D.
Natalia Trayanova Ph.D.
Raimond Winslow Ph.D.
BME labs working in this area
Bioinformatics and Computational Biology Lab
Center for Cardiovascular Bioinformatics and Modeling
Computational Cardiology Laboratory
Genetics, Epigenetics and Bioinformatics Laboratory
Institute for Computational Medicine
Microvascular Development and Remodeling Laboratory
Systems Biology Laboratory
The Timp Lab