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HGG 660 - Bioinformatics Theory and Practice

Description
In this course, we will focus on application of high throughput genomic technologies in a variety of biological contexts. The expectation would be to achieve the following course learning objectives: 1) Gain familiarity with the technologies and techniques available for high throughput genomic studies; 2) Understand the data outputs and how to store/manipulate/analyze/interpret results; 3) Work with high performance computing in the area of genomic analysis; 4) Become aware and be able to use tools for genomic data storage, annotation, and curation; 5) Critically plan and perform quality control of analysis pipelines and results; 6) Share results of genomic data through communication and visualization techniques. Prerequisites: Familiarity with basic genetics, genome structure, and the methods and approaches of molecular biology are necessary. Please ask for primers on these topics if you do not have a Biology background. In addition, basic knowledge in the Unix environment and basic operations is required. Materials will be distributed in the first week of class to address.
Credits
3
Recent Professors
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Recent Semesters
Spring 2021, Spring 2020, Spring 2019, Spring 2018
Offered
MW
Avg. Class Size
15
Avg. Sections
1