Translational Bioinformatics
Prerequisites: HIDS 411 Clinical Data Science.
This course covers the fundamentals of bioinformatics and how they apply to translational and clinical problems. The purpose of this course is to give students a broad overview of the field of bioinformatics, and the tools commonly used, as well as the applications to practical biomedical issues, diseases, population health, drug discovery, etc. The students will also be exposed to a variety of open-source software for sequence alignment, SNPs discovery, and on how to access and analyze data from large biological databases, for translational and clinical research.
Outcomes: Understand and apply a range of bioinformatics algorithms, and their computational efficiency; Apply and analyze informatics techniques to retrieve, store, and analyze 'omics' data; Apply and analyze open-source tools and open access databases to find and analyze data of translational and clinical importance; Analyze the current trends and problems in bioinformatics and how they relate to clinical issues, population and public health.
This course covers the fundamentals of bioinformatics and how they apply to translational and clinical problems. The purpose of this course is to give students a broad overview of the field of bioinformatics, and the tools commonly used, as well as the applications to practical biomedical issues, diseases, population health, drug discovery, etc. The students will also be exposed to a variety of open-source software for sequence alignment, SNPs discovery, and on how to access and analyze data from large biological databases, for translational and clinical research.
Outcomes: Understand and apply a range of bioinformatics algorithms, and their computational efficiency; Apply and analyze informatics techniques to retrieve, store, and analyze 'omics' data; Apply and analyze open-source tools and open access databases to find and analyze data of translational and clinical importance; Analyze the current trends and problems in bioinformatics and how they relate to clinical issues, population and public health.