BTRY 6381
Last Updated
- Schedule of Classes - October 16, 2017 11:09AM EDT
- Course Catalog - June 14, 2017 7:15PM EDT
Classes
BTRY 6381
Course Description
Course information provided by the 2016-2017 Catalog.
A higher level programming course using Perl and available bioinformatics tools and techniques for the analysis of molecular biological data, including biosequences, microarrays, and networks. This course emphasizes practical skills rather than theory. Topics include advanced Perl programming, R and Bioconductor, sequence alignment, MySQL database (DBI), web programming and services (CGI), microarray analysis, and methods for inferring and analyzing regulatory, protein-protein interaction, and metabolite networks.
Prerequisites/Corequisites Prerequisite: at least one introductory course in computer programming (any language) and one in statistical methods, or permission of the instructor.
Outcomes
- Demonstrate familiarity with the basics of applied statistical methodology.
- Demonstrate familiarity with statistical software and a programming language.
- Demonstrate ability to perform complex data mining of biological datasets using a programming language.
- Demonstrate ability to effectively communicate the results of a statistical analysis to biologists.
- Demonstrate familiarity with statistical and computational tools for high throughput genomic data.
- Demonstrate ability to build stand-alone softwares, web tools, and databases for analyzing biological data.
When Offered Spring.
Regular Academic Session. Choose one lecture and one laboratory. Combined with: BTRY 4381
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- T Comstock Hall-Academic II B108
Instructors
Yu, H
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Additional Information
Instruction Mode: In Person
Prerequisites: at least one introductory course in computer programming (any language) and one in statistical methods, or permission of instructor.
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Class Number & Section Details
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Meeting Pattern
- R Comstock Hall-Academic II B108
Instructors
Yu, H
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Additional Information
Instruction Mode: In Person
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