The Lander–Green algorithm is an algorithm, due to Eric Lander and Philip Green for computing the likelihood of observed genotype data given a pedigree. It is appropriate for relatively small pedigrees and a large number of markers. It is used in the analysis of genetic linkage.[1][2]
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References
- ^ Lander, E.S. and Green, P. (1987) "Construction of multilocus genetic linkage maps in humans", Proceedings of the National Academy of Sciences, 84 (8), 2363–2367
- ^ Abecasis, G.R., Wigginton, J.E. (2005) "Handling Marker-Marker Linkage Disequilibrium: Pedigree Analysis with Clustered Markers", Am J Hum Genet., 77(5), 754–767.
This page was last edited on 2 September 2017, at 19:41