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  "Description": "A package for detecting differential methylation. It\nexploits a Bayesian hidden Markov model that incorporates\nlocation dependence among genomic loci, unlike most existing\nmethods that assume independence among observations. Bayesian\npriors are applied to permit information sharing across an\nentire chromosome for improved power of detection. The direct\noutput of our software package is the best sequence of\nmethylation states, eliminating the use of a subjective, and\nmost of the time an arbitrary, threshold of p-value for\ndetermining significance. At last, our methodology does not\nrequire replication in either or both of the two comparison\ngroups.",
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