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A Novel Bayesian Change-punkt Algoritm för Genomvid analys av olika ChIPseq datatyper
JoVE Journal
Biology
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JoVE Journal Biology
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
DOI:

12:39 min

December 10, 2012

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Chapters

  • 00:05Title
  • 02:43Preprocessing: Preparing Input Files for Bayesian Change-point (BCP) Analysis & ChIP Read Densities for Detection of Enriched Islands in Diffuse Data
  • 04:48Estimating the Posterior Mean Read Density of Each Block using BCMIX Approximation
  • 06:24Post-processing Posterior Means of Diffuse Read Profiles
  • 07:06Results: Comparison of BCP and SICER in Analysis of Histone Modification Data
  • 11:47Conclusion

Summary

Automatic Translation

Vår Bayesiansk Ändra Point (BCP) algoritmen bygger på state-of-the-art framsteg inom modellering change-poäng genom Hidden Markov Models och överför dem till kromatin immunoprecipitation sekvensering (ChIPseq) dataanalys. BCP presterar bra i både breda och punktformig datatyper, men utmärker sig i exakt identifiera robusta, reproducerbara öarna diffus histon anrikning.

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