1. Contents 2. Introduction 2.1 Statistics and bioinformatics 2.2 Scope and approach of the book 2.3 Acknowledgements 2.4 Supporting material 2.5 Warning 3.

Bioinformatics and Biology 3.1 Sequence searchers in databases 3.2 Gene prediction 3.3 Detection of sequence motifs 3.4 Comparative genomics 3.5 Expression profiles 3.6 Networks of interaction 4. Sequence Analysis 4.

1 Combinatorial analysis 4.2 Descriptive statistics 4.3 Elements of probabilities 4.4 Theoretical distributions of probabilities 4.5 Sampling and estimation 4.6 Statistical tests 4.7 Hidden Markov Models (HMM) 4.8 An information theory perspective 5.

Transcriptome 5.1 Introduction to multivariate analysis 5.2 Correlation analysis 5.3 Regression analysis 5.4 Analysis of variance 5.5 Unsupervised classification (Clustering 5.6 Reduction of dimensionality and visualization 5.7 Supervised classification (discriminant analysis) 6.

Genome Evolution 7. Biochemical Networks 8. Exercises 9. Annexes 9.1. Formula tables 10. Index 11. References.