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.

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.