View source for Learning mechanistic models of gene expression regulation from natural sequence variation

By Harmen Bussemaker, Columbia University

'''Apr 7, 2009'''

CNLS Conference room.

:Our laboratory uses computation and quantitative modeling to understand the behavior of gene regulatory networks in terms of the underlying bio-molecular interactions. We focus on the function of transcription factors (TFs), which provide a crucial regulatory layer between signaling pathways and the genome. In this talk, we will describe how “hidden variables” related to the sequence specificity and condition-specific regulatory activity of TFs can be inferred through integrative analysis of functional genomics data of different type. We will also discuss a novel approach to mapping trans-acting sequence variation that infers segregant-specific TF activities, treat these as a quantitative trait, and then uses genetic linkage analysis to identify “aQTLs” harboring direct or indirect TF modulators.

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