Statisical methods in bioinformatics: an introduction/
Warren J. Ewens, Gregory R. Grant
- 2nd ed.
- New York: Springer, 2005.
- xx, 597 p. : ill. ; 24 cm.
- Statistics for biology and health .
Probability theory (i): one random value -- Probability theory (ii): many random variables -- Statistics (i): an introduction to statistical inference -- Stochastic processes (i): poisson processes and Markov chains -- The analysis of one DNA sequence -- The analysis of multiple DNA or protein sequences -- Stochastic processes (ii): random walks -- Statistics (ii): classical estimation theory -- Statistics (iii): classical hypothesis testing theory -- BLAST -- Stochastic processes (iii): Markov chains -- Hidden Markov models -- Gene expression, microarrays and multiple testing -- Evolutionary models -- Phylogenetic tree estimation -- Appendix A Basic notions in biology -- Appendix B Mathematical Formulae and results -- Appendix C Computational aspects of the binomial and generalized geometric distribution functions -- Appendix D BLAST: sums of normalized scores.