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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.

URL: http://noble.gs.washington.edu/proj/hmmseg/

Resource ID: nlx_75182     Resource Type: Resource     Version: Latest Version

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Submitted On

12:00am April 12, 2011

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Version 2

Created 2 weeks ago by Christie Wang

Version 1

Created 4 years ago by Anonymous

Unsupervised segmentation of continuous genomic data.

  • Day N
  • Bioinformatics
  • 2007 1

The advent of high-density, high-volume genomic data has created the need for tools to summarize large datasets at multiple scales. HMMSeg is a command-line utility for the scale-specific segmentation of continuous genomic data using hidden Markov models (HMMs). Scale specificity is achieved by an optional wavelet-based smoothing operation. HMMSeg is capable of handling multiple datasets simultaneously, rendering it ideal for integrative analysis of expression, phylogenetic and functional genomic data. AVAILABILITY: http://noble.gs.washington.edu/proj/hmmseg