Statistics in molecular biology and genetics: Selected proceedings of the Joint AMS-IMS-SIAM Summer Conference on Statistics in Molecular Biology held in Seattle, WA, June 22--26, 1997
Editor: Françoise Seillier-Moiseiwitsch
Lecture Notes--Monograph Series, Volume 33
Hayward, CA: Institute of Mathematical Statistics, 1999.
313 pp.
Subjects:
92-06 (primary)60-06 (secondary)
62-06 (secondary)
Mathmatical Reviews number (MathSciNet): MR1842143
ISBN:0-940600-47-1
Copyright © 1999, Institute of Mathematical Statistics.
Genetic Mechanisms
On a Markov model for chromatid interference
Hongyu Zhao, and Terence P. Speed; 1-20
Population Genetics
Diffusion process calculations for mutant genes in nonstationary populations
Ruzong Fan, and Kenneth Lange; 38-55
The coalescent with partial selfing and balancing selection: an application of structured coalescent processes
Magnus Nordborg; 56-76
Human Genetics
Statistical aspects of the transmission/disequilibrium test (TDT)
Warren J. Ewens; 77-94
Estimation of conditional multilocus gene identity among relatives
Elizabeth A. Thompson, and Simon C. Heath; 95-113
Quantitative Genetics
A review of methods for identifying QTLs in experimental crosses
Karl W. Broman, and T. P. Speed; 114-142
Evolutionary Genetics
Markov chain Monte Carlo for the Bayesian analysis of evolutionary trees from aligned molecular sequences
Michael A. Newton, Bob Mau, and Bret Larget; 143-162
Likelihoods on coalescents: a Monte Carlo sampling approach to inferring parameters from population samples of molecular data
Joseph Felsenstein, Mary K. Kuhner, Jon Yamato, and Peter Beerli; 163-185
Uses of statistical parsimony in HIV analyses
Keith A. Broman, and T. Speed; 186-206
Linear estimators for the evolution of transposable elements
Paul Joyce, Linette Fox, N. Carol Casavant, and Holly A. Wichman; 207-220
A conditional approach to the detection of correlated mutations
Maha C. Karnoub, Françoise Seillier-Moiseiwitsch, and Pranab K. Sen; 221-235
Correlated mutations in models of protein sequences: phylogenetic and structural effects
Alan S. Lapedes, Bertrand Giraud, LonChang Liu, and Gary D. Stormo; 236-256
Sequence Motifs
Large compound Poisson approximations for occurrences of multiple words
Gesine Reinert, and Sophie Schbath; 257-275
Protein Structure
Deriving interatomic distance bounds from chemical structure
Michael W. Trosset, and George N. Phillips; 276-287
Protein fold class prediction is a new field for statistical classification and regression
Lutz Edler, and Janet Grassmann; 288-313
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