This course focuses on the development of research skills required for framing strong hypotheses and performing robust experiments using large biological and biochemical data sets. Beginning with an introduction to genome evolution, organization and regulation, the major goal of the course is to develop skills for framing important biological hypotheses and deploying appropriate tools for testing those hypotheses. Approaches for data quality assessment and evaluation of computational tools is a major theme, and laboratory time will provide hands-on experience with analysis of DNA, RNA and protein sequence data, and the regulatory networks controlling gene expression and metabolic activity. Focus will be placed on experimental design, interacting with data in local and public databases, version control, documentation, and conducting reproducible research. Prerequisites:DASC 5410. Knowledge of Linux system and skills of computer programming will be an asset.
This course focuses on the development of research skills required for framing strong hypotheses and performing robust experiments using large biological and biochemical data sets. Beginning with an introduction to genome evolution, organization and regulation, the major goal of the course is to develop skills for framing important biological hypotheses and deploying appropriate tools for testing those hypotheses. Approaches for data quality assessment and evaluation of computational tools is a major theme, and laboratory time will provide hands-on experience with analysis of DNA, RNA and protein sequence data, and the regulatory networks controlling gene expression and metabolic activity. Focus will be placed on experimental design, interacting with data in local and public databases, version control, documentation, and conducting reproducible research. Prerequisites:DASC 5410. Knowledge of Linux system and skills of computer programming will be an asset.
