BTRY 4381
Last Updated
- Schedule of Classes - June 22, 2015 4:42PM EDT
- Course Catalog - June 11, 2015 6:21PM EDT
Classes
BTRY 4381
Course Description
Course information provided by the 2014-2015 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.
Comments Co-meets with BTRY 6381.
Regular Academic Session. Choose one lecture and one laboratory. Combined with: BTRY 6381
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Credits and Grading Basis
3 Credits Graded(Graded)
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Class Number & Section Details
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Meeting Pattern
- T Malott Hall 251
Instructors
Yu, H
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Additional Information
Instruction Mode: In Person
Prerequisite: 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 Malott Hall 251
Instructors
Yu, H
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Additional Information
Instruction Mode: In Person
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