1. Scoring two-species local alignments to try to statistically separate neutrally evolving from selected DNA segments
- Author
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Mark Diekhans, David Haussler, and Krishna M. Roskin
- Subjects
Genetics ,Comparative genomics ,chemistry.chemical_compound ,chemistry ,Human genome ,Mutual information ,Computational biology ,Biology ,Neutral theory of molecular evolution ,Genome ,Function (biology) ,DNA ,Selection (genetic algorithm) - Abstract
We construct several score functions for use in locating unusually conserved regions in a genome-wide 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
- 2003
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