BioHMM

BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data. 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. Availability: BioHMM is available as part of the R library snapCGH which can be downloaded from http://www.bioconductor.org/packages/bioc/1.8/html/snapCGH.html Contact:J.Marioni@damtp.cam.ac.uk Supplementary information: Supplementary information is available at http://www.damtp.cam.ac.uk/user/jcm68/BioHMM.html