BTRY 4830

BTRY 4830

Course information provided by the Courses of Study 2019-2020.

A rigorous treatment of analysis techniques used to understand complex genetic systems. This course covers both the fundamentals and advances in statistical methodology used to analyze disease and agriculturally relevant and evolutionarily important phenotypes. Topics include mapping quantitative trait loci (QTLs), application of microarray and related genomic data to gene mapping, and evolutionary quantitative genetics. Analysis techniques include association mapping, interval mapping, and analysis of pedigrees for both single and multiple QTL models. Application of classical inference and Bayesian analysis approaches is covered and there is an emphasis on computational methods.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: BTRY 3080 and introductory statistics or equivalent.

Distribution Category (OPHLS-AG)

  • Students will learn a statistical modeling strategy that is both basic and general, as well as how to apply this strategy to learn information about biological systems when analyzing genome-wide data. More specifically, students will learn the mathematics and interpretation of linear statistical models.
  • Students will learn what these models can be used to infer when applied to genome-wide genetic and related data.
  • Students will learn how to effectively and efficiently analyze large-scale genomic data and how to program in R for this purpose.
  • Students will learn the limits of interpretation when applying these statistical models to genomic data when inferring information about a biological system.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 6830

  • 4 Credits Stdnt Opt

  •  3650 BTRY 4830   LEC 001

    • TR Weill Hall 226
    • Jan 21 - May 5, 2020
    • Mezey, J

  • Instruction Mode: Hybrid - Online & In Person
    Prerequisites: BTRY 3080 and introductory statistics or equivalent.

  •  3651 BTRY 4830   LAB 401

  • Instruction Mode: Hybrid - Online & In Person

  •  4008 BTRY 4830   LAB 402

  • Instruction Mode: Hybrid - Online & In Person