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Viewing: INFR 3103 : Genomics

Last approved: Fri, 14 Apr 2017 08:01:40 GMT

Last edit: Thu, 13 Apr 2017 19:12:30 GMT

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School of Medicine and Health Sciences
Clinical Research and Leadership (CRL)
INFR
3103
Genomics
Genomics
Fall 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
No
BISC 1115 and 1125
Corequisites
declared major in the bioinformatics or the medical informatics program
20
Dr. Keith Crandall
Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


Genes and genomes; computational and statistical approaches for analyzing genomic and metagenomic data. Four credits in general biology courses may be substituted for the prerequisite.
As a result of completing this course, students will be able to: • Identify ethical issues and motivations associated with genome science and projects in Human, Plant, Bacterial, and Comparative Genomics arenas. • Manipulate computational genomic data using established bioinformatics software. • Analyze genomic data using statistical approaches, including measure levels of divergence, selection pressure, domain predictions, and comparative analyses. • Generate hypotheses using bioinformatics databases for data collection and evaluation.
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Course Attribute


Key: 10443