One major goal of functional genomics is to learn how a genome encodes regulatory networks that cause cells to undergo dynamic state changes in which they assume new identities. This talk will focus on approaches to this problem, emphasizing what large scale expression analysis and comparative genomics contribute. This will be framed in the context of what is known about a family of model genes and their regulation taken from a mammalian developmental problem and a related cancer biology problem. A sub-topic will be to highlight potential strengths and pitfalls arise from using different types of input samples such as cell culture developmental timecourses, whole tissues or even whole animals.
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