Bioinformatics Program

Certificate in Clinical Bioinformatics

The rapidly evolving health care industry is in high demand for clinical bioinformatic practitioners. To meet this demand, we created the certificate program in Clinical Bioinformatics for junior faculty.

Certificate Overview

  • A total of 9 credit hours are required to earn the Certificate in one year.
  • The program is organized to meet one time per week and run throughout the year.

Learning Outcomes 

After completing the certificate program participants will be prepared to do the following:

Apply clinical bioinformatics theories, methods and tools related to personal health, health care, public health, and biomedical research (for example)

  • Work with and evaluate electronic health records
  • Work with and evaluate national health databases
  • Work with and evaluate omics repositories
  • Integrate clinical and omics data

Describe analytic tools associated with systems/bioinformatic approaches, including (for example):

  • Transcriptomics – microarray analysis deep sequencing
  • Proteomic mass spectroscopic methods (identification and abundance)

Apply Intelligent Data Analysis Techniques including (for example):

  • Dimension reduction techniques
  • Heuristic search techniques
  • Intelligent interfacing techniques

Describe application of bioinformatic methods to clinical problems, by demonstrating understanding of:

  • Biomarker discovery and validation
  • Major diseases such as cancer, diabetes, cardiovascular, and autoimmunity




Required Courses


BIPG6300 Clinical Proteomics   2 credit hours

BIPG0000 Case Studies in omics Medicine   1 credit hour


BRIM6200 Biomarker Discovery Validation & Implementation    3 credit hours



BIPG 5120 Clinical Bioinformatics      3 credit hours

Additional (Optional) Activities:

-Attend grand rounds for Bioinformatics speakers

-Bioinformatics Boot Camp (a remote experience run by the CDRL )

-Monthly Bioinformatics journal club

-Participate in regional bioinformatics meeting (ie present abstract)

-Participate/develop a bioinformatics workshop related to topic of interest










Last Updated: 8/10/23