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Genomics Analysis

BIOL 310
Fall 2022
Section: 01  
Crosslisting: CIS 310, MB&B 311
Course Cluster and Certificates: Integrated Design, Engineering & Applied Science Minor

This course is an introduction to genomics and analysis for students with interest in life sciences. It introduces current applications of genomics techniques, covers how to build a genomics workflow, and introduces statistical analyses in R programming language. This course assumes little or no prior programming experience and will provide hands-on experience in taking raw next-generation sequencing data through a custom workflow and ending with analyses in R statistical software. This course emphasizes hands-on computational methodology, bioinformatics data analysis, and interpretation of quantitative information. The primary method of evaluation is through written work and weekly homework assignments and the course will increase students skill in scientific writing and scholarship. Classes will consist of lectures, discussion groups and cloud based computational projects designed to train transferable skills in big data analysis. Lectures, labs, assignments and assessments will promote deep knowledge in genomics and informatics, gaining understanding in the scientific process, thinking analytically and critically about biological questions, and formulating original ideas and testing them with big data. Skills gained during the course will include quantitative, statistical and graphical tools, scientific writing, oral communication and deep thinking about ethics in a genomics-enabled world.
Credit: 1 Gen Ed Area Dept: NSM BIOL
Course Format: Lecture / DiscussionGrading Mode: Graded
Level: UGRD Prerequisites: MB&B181 OR BIOL181 OR BIOL181Z
Fulfills a Major Requirement for: (BIOL)(CIS)(IDEA-MN)(INFO-MN)(MB&B)(MOBI-MN)(STS)
Past Enrollment Probability: Less than 50%

Last Updated on JUL-15-2024
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