LdCompare: rapid computation of single- and multiple-markerr2 and genetic coverage
Author(s) -
Ke Hao,
X. Di,
Simon Cawley
Publication year - 2006
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl574
Subject(s) - computation , computer science , genetic marker , genetic algorithm , computational biology , genetics , algorithm , biology , machine learning , gene
The scale of genetic-variation datasets has increased enormously and the linkage equilibrium (LD) structure of these polymorphisms, particularly in whole-genome association studies, is of great interest. The significant computational complexity of calculating single- and multiple-marker correlations at a genome-wide scale remains challenging. We have developed a program that efficiently characterizes whole-genome LD structure on large number of SNPs in terms of single- and multiple-marker correlations.
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