Graduate Certificate in Clinical Bioinformatics
| Code | Title | Hours |
|---|---|---|
| BIPG 5100 | Fund Bioinformatics Proteomics | 3 |
| or BIPG 5200 | Statistical Methods in Bioinformatics | |
| BIPG 6400 | Applications of Bioinformatics | 3 |
| or BIPG 6200 | Advanced Programming in Bioinformatics | |
| or BIPG 6500 | Applied Statistics for Bioinformatics | |
| BIPG 5120 | Clinical Bioinformatics | 3 |
| or BIPG 7120 | Clinical Bioinformatics | |
| Total Hours | 9 | |
| First Year | ||
|---|---|---|
| First Term | Hours | |
| BIPG 5100 | Fund Bioinformatics Proteomics | 3 |
| Hours | 3 | |
| Second Term | ||
| BIPG 6400 | Applications of Bioinformatics or Advanced Programming in Bioinformatics or Applied Statistics for Bioinformatics | 3 |
| Hours | 3 | |
| Third Term | ||
| BIPG 5120 or BIPG 7120 | Clinical Bioinformatics or Clinical Bioinformatics | 3 |
| Hours | 3 | |
| Total Hours | 9 | |
- 1) Apply clinical bioinformatics theories, methods and tools related to personal health, health care, public health, and biomedical research (for example): a) Work with and evaluate electronic health records, b) Work with and evaluate national health databases, c) Work with and evaluate omics repositories, d) Integrate clinical and omics data.
- 2) Describe analytic tools associated with systems/bioinformatic approaches, including (for example): a) Transcriptomics – microarray analysis vs. deep sequencing, b) Proteomic mass spectroscopic methods (identification and abundance), c) Determination and structure of interaction networks, d) Functional network maps.
- 3) Apply Intelligent Data Analysis Techniques including (for example): a) Dimension reduction techniques, b) Heuristic search techniques, c) Intelligent interfacing techniques.
- 4) Describe application of bioinformatic methods to clinical problems, by demonstrating understanding of: a) Biomarker discovery and validation, b) Major diseases such as cancer, diabetes, cardiovascular, and autoimmunity.