Application Track: Bioinformatics

Bioinformatics will help students develop skills in the application of bioinformatics and statistical genetics analysis, with a focus on translational studies and genomics. Weekly Research-in- Progress and Journal club are essential components of this track and students of all levels are expected to attend and present. Students are introduced to a wide range of bioinformatics and statistical genetics topics and gain hands-on experience with tools and data. Students must demonstrate competency in (a) understanding basic genetics and the 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, (c) integration of computational genomics findings and statistical genetics analyses with medicine (translation) through integration with clinical decision support, database design, and human factors. Ultimately they will be able to specialize in large-scale genomic analysis, precision medicine, or translational research.

Recommended Course of Study

This is a recommended schedule for this track. Courses can be waived or tested out of with permission of the course instructor and the student's advisor. Ultimately, the courses a student takes should be determined and approved by the student and the graduate committee. Please note some of the below courses have differential tuition charges. Be sure and check with your PI regarding paying for those before you register.

Year/Semester Course Cr.
Year 1 Fall BMI 6018 Intro to Computer Programming  3
BMI 6010 Fnd Healthcare Informatics 2
BMI 6701 Population and Public Health Informatics 2
BMI 6030 Fnds Bioinformatics 2
Ethics 1
Year 1 Spring BMI 6106 Into to Probability and Statistics 3
BMI 6111 Research Design Part I 1.5
BMI 6103 System Modeling and Process Improvement 2
One of the following Electives:
BMI 6120 Standards in Biomedical Informatics 2
Year 2 Fall  BMI 6112 Research Design Part II 1.5
BMI 6806 Translational Informatics 2
BMI 6015 Applied Machine Learning 4
BMI 6203 Clinical Database Design 2

Elective:

Genomic Analysis I - PED 5750

1.5
Year 2 Spring

One of the following Electives:

Genomic Signal Processing and Data https://www.alterlab.org/teacing/BIOEN6770

Intro to Data Science http://datasciencecourse.net/2019/index.html

Computational Genomics (HGEN cross-listed with BMI) offered in the Spring of even years

Genes and Complex Disease (HGEN)

Research Credits

Recommended Electives

BMI 6019 Bioinformatics in Practice
BMI 6016 Biomedical Data Quality
COMP 5360 Intro to Data Science
CS 6630 Visualization
HGEN 6092 Evolution, Genetics and Genomics
BIOEN 6670 Signal Processing
BMI 6040 Fundamentals of Genetic Epidemiology
HGEN 6421  Genes and Complex Disease
BIOL 6420 Genetics and Genome
BMI 6510 Genetic Epidemiology Association
*Courses in Math and CS as needed

Other Relevant Courses and Electives

*Discuss with advisor/committee

Population Heath Science Courses

Clincial Investigation Courses

MStat Courses

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.

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

Feel free to meet individually with faculty and/or to attend their weekly lab meetings.

DBMI

Samir Abdelrahman; Karen Eilbeck; Julio Facelli; Younghee Lee; Aaron Quinlan DBMI and Human Genetics.

Non-DBMI:

Brian Chapman, Radiology; Laura Heermann-Langford, Intermountain, NI; Rachel Hess, Population Health Sciences; Rashmee Shah, Cardiology.

Ph. D. Application Deadlines

Fall Semester

Due Date: December 1st

Online Application

Biomedical Informatics at the University of Utah