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Estimation of Physical Distance in the Genome through Probabilistic Analysis of Marker Density and Yeast Artificial Chromosome (YAC) Size
Author(s) -
Koziol James A.,
Beutler Bruce
Publication year - 1999
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/(sici)1521-4036(199905)41:2<251::aid-bimj251>3.0.co;2-1
Subject(s) - probabilistic logic , cloning (programming) , chromosome , statistical model , genetics , computer science , biology , artificial intelligence , gene , programming language
Knowledge of the physical distance separating polymorphic markers which flank a region of interest can be usefully exploited in positional cloning methodology. We present a mathematical model for estimating this distance based on simple conditions generally met in practice. We illustrate estimation and construction of confidence intervals based on the model with data from a recent positional cloning experiment.