Evolutionary genomics : statistical and computational methods. Volume 1 / edited by Maria Anisimova. — New York : Humana Press : Springer, c2012. – (58.17/M592/v.855)

Contents

    CONTENTS
    
    Preface
    Contributors
    PART I INTRODUCTION: BIOINFORMATICIAN'S PRIMERS
    1 Introduction to Genome Biology: Features， Processes， and Structures
    2 Diversity of Genome Organisation
    3 Probability， Statistics， and Computational Science
    4 The Essentials of Computational Molecular Evolution
    PART II GENOMIC DATA ASSEMBLY， ALIGNMENT， AND HOMOLOGY INFERENCE
    5 Next-Generation Sequencing Technologies and Fragment Assembly Algorithms
    6 Gene Prediction
    7 Alignment Methods: Strategies， Challenges， Benchmarldng， and Comparative Overview
    8 Whole-Genome Alignment
    9 Inferring Orthology and Paralogy
    10 Detecting Laterally Transferred Genes
    PART III GENOME EVOLUTION: INSIGHTS FROM STATISTICAL ANALYSES
    11 Genome Evolution in Outcrossing Versus Selfing Versus Asexual Species 311
    12 Transposable Elements and Their Identification 337
    13 Evolution of Genome Content: Population Dynamics of Transposable Elements in Flies and Humans
    14 Detection and Phylogenetic Assessment of Conservcd Synteny Derived from Whole Genome Duplications
    15 Analysis of Gene Order Evolution Beyond Single-Copy Genes
    16 Discovering Patterns in Gene Order
    Index