1. Score functions for determining regional conservation in two-species local alignments
- Author
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Mark Diekhans, Krishna M. Roskin, and David Haussler
- Subjects
Computational biology ,Biology ,Genome ,Evolution, Molecular ,chemistry.chemical_compound ,Mice ,Genetics ,Animals ,Humans ,Molecular Biology ,Selection (genetic algorithm) ,Comparative genomics ,Models, Genetic ,Computational Biology ,Genomics ,Computational Mathematics ,Computational Theory and Mathematics ,chemistry ,ROC Curve ,Modeling and Simulation ,Data Interpretation, Statistical ,Human genome ,Evolutionary selection ,Function (biology) ,DNA - Abstract
We construct several score functions for use in locating unusually conserved regions in a genomewide search of aligned DNA from two species. We test these functions on regions of the human genome aligned to the mouse genome. These score functions are derived from properties of neutrally evolving sites on the mouse and human genome and can be adjusted to the local background rate of conservation. The aim of these functions is to try to identify regions of the human genome that are conserved by evolutionary selection because they have an important function, rather than by chance. We use them to get a very rough estimate of the amount of DNA in the human genome that is under selection.
- Published
- 2004