Unsupervised segmentation of continuous genomic data.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 17384021.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
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. http://noble.gs.washington.edu/proj/hmmseg
Medical subject headings
- Algorithms
- Artificial Intelligence
- Chromosome Mapping
- Databases, Genetic
- Pattern Recognition, Automated
- Sequence Analysis, DNA