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May 23, 2016 by Catherine Golden (cagw)
Apr 14, 2017 by Ariel Caruso (carusoar)
INFR 3103 : Genomics
Fri, 14 Apr 2017 08:01:40 GMT
Thu, 13 Apr 2017 19:12:30 GMT
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In The Catalog Prerequisites:
INFR 4123 : Statistical Genetics
INFR 4203 : Seminar in Computational Biology
School of Medicine and Health Sciences
Clinical Research and Leadership (CRL)
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BISC 1115 and 1125
declared major in the bioinformatics or the medical informatics program
Dr. Keith Crandall
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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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INFR 3103 Genomics.docx
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