University of Connecticut University of UC Title Fallback Connecticut

Education

Institute for Systems Genomics (ISG) programs and co-sponsored programs:

PSM

 

  • PSM Health Care Genetics – The Program is designed to train scientists and professionals with interdisciplinary competency in human genetics, disease identification, laboratory diagnostics, health care ethics, and regulatory issues in the clinical laboratory. Advanced level didactic, experiential and professional development training will increase knowledge and prepare leaders in health care genetics who translate discoveries in genetic sciences to products, policies, and practices.

 

New courses offered:

  • New MEDS 5325: Computational Genomics Practicum CourseThe newly offered MEDS 5325 course focuses on methods for processing/analyzing NGS data that includes: introduction to the Linux command line, elements of Python and R programming; genomics software tools for performing sequence read-alignments, transcript-expression profiling,  and robust procedures for gauging differential gene expression; methods for genome assembly, genome variation detection, motif-finding, and data-visualization, and  statistical topics on probability distributions, central limit theorem, hypothesis testing, linear models, and dimensionality reduction.
  • MEDS 6498: Machine Learning for Genomics – The MEDS 6498 course focuses on the elements of statistical learning, from classical methods for regression and classification to state-of-the-art deep learning architectures.
  • NURS 5811: Application of Genetics to Healthcare:  The role of the Human Genome Project in genetic diagnostics, health promotion, disease prevention, therapeutic interventions and counseling, as well as the mechanisms of genetic inheritance and the genetic contribution to common and complex disorders, will be analyzed using a multidisciplinary context. Students will evaluate the ethical, financial, cultural, moral and legal issues that arise using case study discussion and analysis to augment didactic knowledge.