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Cornell University    
  Feb 24, 2018
Courses of Study 2017-2018
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BTRY 4381 - [Bioinformatics Programming]

Fall. Next offered 2018-2019. 3 credits. Letter grades only.

Prerequisite: at least one introductory course in computer programming (any language) and one in statistical methods, or permission of the instructor. Co-meets with BTRY 6381 .

H. Yu.

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.

Outcome 1: Demonstrate familiarity with the basics of applied statistical methodology.

Outcome 2: Demonstrate familiarity with statistical software and a programming language.

Outcome 3: Demonstrate ability to perform complex data mining of biological datasets using a programming language.

Outcome 4: Demonstrate ability to effectively communicate the results of a statistical analysis to biologists.

Outcome 5: Demonstrate familiarity with statistical and computational tools for high throughput genomic data.

Outcome 6: Demonstrate ability to build stand-alone softwares, web tools, and databases for analyzing biological data.

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