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A Novel Bayesiansk Change-point algoritme for Genome-wide analyse av Diverse ChIPseq Datatyper
Journal JoVE
Biologie
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Journal JoVE Biologie
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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Chapitres

  • 00:05Titre
  • 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

Traduction automatique

Vår Bayesiansk Endre Point (BCP) algoritme bygger på state-of-the-art fremskritt i modellering Change-poeng via Hidden Markov Models og bruker dem til kromatin immunoutfelling sekvensering (ChIPseq) dataanalyse. BCP fungerer godt i både brede og punctate datatyper, men utmerker seg i nøyaktig identifisere robuste, reproduserbare øyene diffuse histone berikelse.

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