Biomedical Informatics PhD & MS
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 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|
|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|
Genomic Analysis I - PED 5750
|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)
|BMI 6019||Bioinformatics in Practice|
|BMI 6016||Biomedical Data Quality|
|COMP 5360||Intro to Data Science|
|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
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.
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.
Brian Chapman, Radiology; Laura Heermann-Langford, Intermountain, NI; Rachel Hess, Population Health Sciences; Rashmee Shah, Cardiology.