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By utilizing a heterogeneous hidden Markov model, BioHMM incorporates relevant biological factors (e.g. the distance between adjacent clones) in the segmentation process.<\/jats:p>\n               <jats:p>Availability: BioHMM is available as part of the R library snapCGH which can be downloaded from<\/jats:p>\n               <jats:p>Contact: \u00a0J.Marioni@damtp.cam.ac.uk<\/jats:p>\n               <jats:p>Supplementary information: Supplementary information is available at<\/jats:p>","DOI":"10.1093\/bioinformatics\/btl089","type":"journal-article","created":{"date-parts":[[2006,3,14]],"date-time":"2006-03-14T01:13:56Z","timestamp":1142298836000},"page":"1144-1146","source":"Crossref","is-referenced-by-count":112,"title":["BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data"],"prefix":"10.1093","volume":"22","author":[{"given":"J. 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