Open AccessSimultaneous search for multiple QTL using the global optimization algorithm DIRECT
Author(s) -
Kajsa Ljungberg,
Sverker Holmgren,
Örjan Carlborg
Publication year - 2004
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/bth175
Subject(s) - quantitative trait locus , epistasis , computer science , algorithm , software , source code , search algorithm , data mining , genetics , biology , operating system , gene , programming language
A simultaneous search is necessary for maximizing the power to detect epistatic quantitative trait loci (QTL). The computational complexity demands that the traditional exhaustive search be replaced by a more efficient global optimization algorithm.
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