Instructor(s): Keenan Amundsen
Number of Credit Hours: 3
Cross-listings: PLAS 420
Prerequisites: PLAS 215 Genetics or equivalent. Undergraduate students must be at the senior class level standing.
Description: Introduction to applied computational methods to analyze biological data, efficiently manipulate large data sets, and automate workflows using Perl and Shell scripting. Learn strategies for assembling and analyzing data generated by modern high throughput sequencing platforms.
Learning Outcomes/Course Objectives
- Develop a working knowledge of data handling, manipulation, and analysis relating to agricultural data sets with a primary focus on high throughput DNA-based sequence analysis.
- Apply programming strategies to analyze biological data, efficiently manipulate large data sets, and automate workflows using Perl and Shell scripting.
- Apply different strategies for assembling and analyzing data generated by modern high throughput sequencing platforms.
- The course is organized as an applied course and designed to provide advanced undergraduate students or graduate-level students in an agronomy related field basic training in bioinformatics applications.