Translational Bioinformatics Application Track teaches students how to apply bioinformatics and genetics analyses to solve translational problems arising from biological data. Students are introduced to bioinformatics and statistical genetics and gain hands-on experience with tools and data. Students must demonstrate competency in (a) understanding basic genetics and nature of different types of genetic and phenotypic data, (b) design and implementation of algorithms to solve problems in genomic analysis, precision medicine, and translational research, and (c) integration of computational genomics findings and statistical genetics analyses with medicine (translation) via clinical decision support, database design, and human factors. Trainees specialize in large-scale genomic analysis, precision medicine, or translational research.
Special Interest Groups
PhD students are required to attend at least one SIG (all students are encouraged), which bring people with similar interests together to learn, share, and experiment.
- Translational Bioinformatics SIG
- Computational SIG
Sign up for at least one practicum to gain hands-on experience and work with a team on a project.
Students are encouraged to develop a practicum with a faculty member for a semester, including faculty members outside of DBMI.
Feel free to meet individually with faculty and/or to attend their weekly lab meetings.
Samir Abdelrahman; Karen Eilbeck; Julio Facelli; Younghee Lee; Aaron Quinlan DBMI and Human Genetics.
Laura Heermann-Langford, Intermountain, NI; Rachel Hess, Population Health Sciences; Rashmee Shah, Cardiology.