K Lange (1997) Mathematical and Statistical Methods for Genetic Analysis, Springer.
  1. Basic Principles of Populations Genetics
  2. Counting Methods and the EM Algorithm
  3. Newton's Method and Scoring
  4. Hypothesis Testing and Categorical Data
  5. Genetic Identity Coefficients
  6. Applications of Identity Coefficients
  7. Computation of Mendelian Likelihoods
  8. The Polygenic Model
  9. Markov Chain Monte Carlo Methods
  10. Reconstruction of Evolutionary Trees
  11. Radiation Hybrid Mapping
  12. Models of Recombination
  13. Poisson Approximation
  14. Appendix: Molecular Genetics in Brief
BS Weir (1996) Genetic Data Analysis II, Sinauer.
  1. Nature of Discrete Genetic Data
  2. Estimating Frequencies
  3. Disequilibrium
  4. Diversity
  5. Population Structure
  6. Individual Identification
  7. Linkage
  8. Outcrossing and Selection
  9. Sequence Data
  10. Phylogeny Reconstruction

Last modified: Tue Aug 18 16:00:27 1998 by Brian Yandell
yandell@cs.wisc.edu