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Unsupervised segmentation of continuous genomic data.

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:

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

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Associated grants

  • Agency: NIGMS NIH HHS, Id: R01 GM071923
  • Agency: NIGMS NIH HHS, Id: R01 GM71852
  • Agency: NHGRI NIH HHS, Id: U01 HG003161

Mouse Genome Informatics (Data, Gene Annotation)

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