Stanford CS 262 - Gene Regulation and Microaarys (20 pages)

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Gene Regulation and Microaarys



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Gene Regulation and Microaarys

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Pages:
20
School:
Stanford University
Course:
Cs 262 - Computational Genomics
Computational Genomics Documents

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Gene Regulation and Microarrays CS262 Lecture 5 20 Prof Batzoglou Scribed by Anthony Giardullo Today I want to start on a new topic We will talk a little bit on gene regulation microarrays and finding regulatory motifs in DNA sequences Here is an overview of what we will talk about First I will give a very simplistic biology overview on gene regulation and gene expression And then I will talk a little bit about the microarray technology that enables us to measure the level of gene expression across all or most genes of an organism at a given cell and under certain conditions to get a snapshot of all the genes expressed at a given cell And then I will talk about the main computational topic of this set of lectures which is the regulatory motif finding Motif finding is how to find tiny sequences that are close that are upstream of genes which regulate when genes are turned on and off This is a pretty challenging problem as we will see And it s a different flavor sequence comparison problem or multiple alignment problem This time we will be aligning very tiny sequences that are hidden in much larger genomic sequences Regulation of Gene Expression So let s talk about regulation of genes And again I m not an expert in genetics so this is a very simplified overview for the computer scientist As we will see the genome is a very static entity Each one of us has a genome that is the same throughout all our lives Apart from some modifications that may happen to it and some tiny mutations more or less our genome is the same in our entire body Except for the reproductive cells it is basically pretty much fixed But we are not fixed Each cell in our body does something different Cells are very different from one another And they respond differently to the different conditions they are put it So a cell is dynamic The cell receives messages in many different mechanisms from the environment and can sense things like heat amount of food supply and other things according to what each



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