Translational Bioinformatics Track

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

  • understanding basic genetics and nature of different types of genetic and phenotypic data,

  • design and implementation of algorithms to solve problems in genomic analysis, precision medicine, and translational research, 

  • 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.

Courses

REQUIRED

BMI 6111 - Research Design I

BMI 6120 - Terminologies and standards

Systems & Process Modeling

Grant Writing

BMI 6019 - Bioinformatics in Practice:RNA

BMI 6060 - Applied Computational Genomics

ELECTIVE

HGEN 6421 - Genetics & Complex Disease

BIOEN 6670 - Signal Processing

MDCRC 6010 - Introduction to Genetic Epidemiology

BIOL 6420 - Genetics and Genomes

 

 

Learn more about Courses & Requirements

Practicum

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.

Affiliated Faculty

DBMI: Samir Abdelrahman; Karen Eilbeck; Julio Facelli; Aaron Quinlan, DBMI & Human Genetics.

Non-DBMI: Laura Heermann-Langford, Intermountain, NI; Rachel Hess, Population Health Sciences.

PhD Application Deadlines

December 1st - Initial 

Online Application

Applications now open

December 31st - Final

Frequently Asked Questions

Biomedical Informatics at the University of Utah