Module Guide: Transcription Factor Networks

This module is intended to teach some basic methods of inferring which transcription factors (TFs) regulate each gene. Because because TF's regulate other TFs, these regulatory relationships can be viewed as a network with feed forward and feed back loops. In addition to the qualitative networks, an important goal in this field is the development of quantative regulatory models that make it possible to predict the effects of perturbing TF activity.

The abilities you should come away from this module with are:

  • To explain the types of data used in TF network mapping and the basics of how they are generated.
  • To explain the basic logic behind regression/coexpression analysis and differential expression analysis.
  • To describe the strengths and weaknesses of regression and differential expression analysis.
  • To read and understand published papers on computational methods for mapping TF networks.

    We do not have lecture notes for this section. We will rely instead on the primary literature. There are papers to read before class and we will have short quizzes to ensure that you read the papers.

    Day 0

    In Class

    Before the next class

    Day 1

    In Class

    Before the next class

    Day 2

    In Class

    Before the next class

    Day 3

    In Class

    Before the next class

    Day 4

    In Class

    Before the next class

    Day 5

    In Class

    Before the next class