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Input: Alignment. Model parameters from neutral sequence Estimation example.

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Presentation on theme: "Input: Alignment. Model parameters from neutral sequence Estimation example."— Presentation transcript:

1 Input: Alignment. Model parameters from neutral sequence Estimation example

2 Estimation example 2

3 HMM version

4 Protein Coding Gene Known non-coding gene: XIST ch10 chX RepA Different gene conservation patterns

5 Find a ML estimator for using the EM algorithm. Score: Decompose Q by “extracting” the stationary distribution: R: Neutral substitution pattern : Site specific forces Estimating

6 Unlikeliness Score Rate Score Comparison

7 43% vs 16% detection by vs. Proof of concept

8 Gene and gene regulation

9 GTACTAAGCTACTGTATGGAGGCT Human Mouse *****GAGC**********ATGC* Dog *****AGGT**********CGGC* Bat *****AGCT**********AGAC* Find regions in the alignment whose substitution pattern is explained by the motif. x x x A generalization: Conserved motif discovery

10 P53 MDM2 Novel non coding gene M. Huarte, O. Zuk, M. Guttman P53 Motif instance conservation


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