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Unsupervised segmentation of continuous genomic data.

http://www.ncbi.nlm.nih.gov/pubmed/17384021

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

Pubmed ID: 17384021 RIS Download

Mesh terms: Algorithms | Artificial Intelligence | Chromosome Mapping | Computer Simulation | Databases, Genetic | Information Storage and Retrieval | Markov Chains | Models, Genetic | Models, Statistical | Pattern Recognition, Automated | Sequence Analysis, DNA