Unsupervised segmentation of continuous genomic data
Abstract
Summary: 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...
Paper Details
Title
Unsupervised segmentation of continuous genomic data
Published Date
Mar 23, 2007
Journal
Volume
23
Issue
11
Pages
1424 - 1426
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