BIOCB 6381

BIOCB 6381

Course information provided by the Courses of Study 2023-2024.

A biomedical data science course using Python 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 Python programming, R and Bioconductor, sequence alignment, MySQL database (DBI), web programming and services (CGI), genomics and proteomics data mining and analysis, machine learning, and methods for inferring and analyzing regulatory, protein-protein interaction, and metabolite networks.

When Offered Fall.

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 discussion. Combined with: BIOCB 4381

  • 3 Credits Graded

  •  2149 BIOCB 6381   LEC 001

    • T Ives Hall 115
    • Aug 21 - Dec 4, 2023
    • Yu, H

  • Instruction Mode: In Person
    Prerequisite: at least one introductory course in computer programming (any language) and one in statistical methods, or permission of instructor.

  •  2150 BIOCB 6381   DIS 201

    • R Ives Hall 115
    • Aug 21 - Dec 4, 2023
    • Yu, H

  • Instruction Mode: In Person