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URL: http://noble.gs.washington.edu/proj/hmmseg/
Proper Citation: HMMSeg (RRID:SCR_010670)
Description: HMMSeg is a program for the scale-specific segmention of continuous genomic data using hidden Markov models (HMMs). It can segment multiple datasets simultaneously. Scale-specificity is achieved via an optional smoothing step using wavelets. HMMSeg is written in Java and may be downloaded for unrestricted use. It has been tested on Windows and several Unix-type operating systems.
Resource Type: software resource
Defining Citation: PMID:17384021
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
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