TOOLS FOR DATA ANALYSIS
Using a variety of existing and emerging bioinformatics tools and computational methods, emphasizes hands-on experiences analyzing and interpreting large data sets (e.g. genomic, proteomic, microbiomics, interactome, target discovery). Evaluate and adapt existing computational approaches for specific use in solving a problem in biotechnology.
Prerequisites & course information
Requisites: ABT 700 and 715 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Describe the revolution in big data related to advances in science and the bottlenecks the corresponding data analytics Audience: Graduate 2. Explain how several disciplines and specialties within biotechnology analyze and interpret various datasets to address a biological question Audience: Graduate 3. Develop practical bioinformatics skills applicable to various data types and biological studies Audience: Graduate 4. Utilize and discriminate between various bioinformatics and data visualization tools to answer research question Audience: Graduate 5. Construct and deliver effective professional written and oral presentations incorporating scientifically relevant outcomes from various data analytics Audience: Graduate Learning Outcomes: 1. Describe the revolution in big data related to advances in science and the bottlenecks the corresponding data analytics Audience: Graduate 2. Explain how several disciplines and specialties within biotechnology analyze and interpret various datasets to address a biological question Audience: Graduate 3. Develop practical bioinformatics skills applicable to various data types and biological studies Audience: Graduate 4. Utilize and discriminate between various bioinformatics and data visualization tools to answer research question Audience: Graduate 5. Construct and deliver effective professional written and oral presentations incorporating scientifically relevant outcomes from various data analytics Audience: Graduate
Sources
- Course catalogue ↗2026-2027