Genetics mapping, physical mapping and DNA sequencing are the three key components of the human and other genome projects. Statistics, mathematics and computing play important roles in all three, as well as in the uses to which the mapping and sequencing data are put. This volume edited by key researchers Mike Waterman and Terry Speed reviews recent progress in the area, with an emphasis on the theory and application of genetic mapping.
Genetics mapping, physical mapping and DNA sequencing are the three key components of the human and other genome projects. Statistics, mathematics and computing play important roles in all three, as well as in the uses to which the mapping and sequencing data are put. This volume edited by key researchers Mike Waterman and Terry Speed reviews recent progress in the area, with an emphasis on the theory and application of genetic mapping.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
Produktdetails
The IMA Volumes in Mathematics and its Applications 81
Michael S. Waterman is a University Professor, a USC Associates Chair in Natural Sciences, and Professor of Biological Sciences, Computer Science, and Mathematics at the University of Southern California. A member of the National Academy of Sciences and the American Academy of Arts and Sciences, Professor Waterman is Founding Editor and Co-Editor in Chief of the Journal of Computational Biology. His research has focused on computational analysis of molecular sequence data. His best-known work is the co-development of the local alignment Smith-Waterman algorithm, which has become the foundational tool for database search methods. His interests have also encompassed physical mapping, as exemplified by the Lander-Waterman formulas, and genome sequence assembly using an Eulerian path method.
Inhaltsangabe
An introduction to recombination and linkage analysis.- Monte Carlo methods in genetic analysis.- Interference, heterogeneity and disease gene mapping.- Estimating crossover frequencies and testing for numerical interference with highly polymorphic markers.- What is a genetic map function?.- Haplotyping algorithms.- Statistical aspect of trait mapping using a dense set of markers: a partial review.- A comparative survey of non-adaptive pooling designs.- Parsing of genomic graffiti.- Improving DNA sequencing accuracy and throughput.- Assembly of shotgun sequencing data.
An introduction to recombination and linkage analysis.- Monte Carlo methods in genetic analysis.- Interference, heterogeneity and disease gene mapping.- Estimating crossover frequencies and testing for numerical interference with highly polymorphic markers.- What is a genetic map function?.- Haplotyping algorithms.- Statistical aspect of trait mapping using a dense set of markers: a partial review.- A comparative survey of non-adaptive pooling designs.- Parsing of genomic graffiti.- Improving DNA sequencing accuracy and throughput.- Assembly of shotgun sequencing data.
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