BTRY 4381

BTRY 4381

Course information provided by the Courses of Study 2015-2016.

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.

When Offered Spring.

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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 6381

  • 3 Credits Graded

  •  3797 BTRY 4381   LEC 001

  • Prerequisites: at least one introductory course in computer programming (any language) and one in statistical methods, or permission of instructor.

  •  3798 BTRY 4381   LAB 401

  • Prerequisites: at least one introductory course in computer programming (any language) and one in statistical methods, or permission of instructor.