Titlebook: Genetic Mapping and DNA Sequencing; Terry Speed,Michael S. Waterman Conference proceedings 1996 Springer Science+Business Media New York 1

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Monte Carlo Methods in Genetic Analysis,DNA technologies becoming available to researchers, exact computations are often formidable with standard statistical methods and computational algorithms. The desire to utilize as much available data as possible, coupled with complexities of realistic genetic models, push traditional approaches to

燒瓶

Interference, Heterogeneity and Disease Gene Mapping,th approximately 1,600 in 1989 (Human Gene Mapping 10, [5]) and only about 260 ten years before that (Human Gene Mapping 5, [4]). The realization that extensive variation could be detected in anonymous DNA segments (Botstein et al. [1]) greatly enhanced the potential for mapping by linkage analysis.

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Estimating Crossover Frequencies and Testing for Numerical Interference with Highly Polymorphic Mar referring to the positions of crossovers. Here, the focus is on numerical interference and on methods of testing for its presence. A dense map of highly polymorphic markers is assumed so that each crossover can be observed..General relationships are worked out between crossover distributions and un

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What is a genetic map function?,d bivalents, crossover point processes on the single strand products of meiosis, multilocus recombination probabilities and map functions are discussed in detail, mainly, but not exclusively under the assumption of no chromatid interference. As a result of this discussion we obtain a number of inequ

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