Introduction

SUMMARY: We have developed a new method (BioHMM) for segmenting array comparative genomic hybridization data into states with the same underlying copy number. By utilizing a heterogeneous hidden Markov model, BioHMM incorporates relevant biological factors (e.g. the distance between adjacent clones) in the segmentation process.

Publications

  1. BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data.
    Cite this
    Marioni JC, Thorne NP, Tavaré S, 2006-05-01 - Bioinformatics (Oxford, England)

Credits

  1. J C Marioni
    Developer

  2. N P Thorne
    Developer

  3. S Tavaré
    Investigator

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Summary
AccessionBT000419
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesR
User InterfaceTerminal Command Line
Download Count0
Submitted ByS Tavaré