Cover; Half Title; Title Page; Copyright Page; Preface; Table of Contents; Introductory; The Human Genome: An Introduction; Computation and the Human Genome Project: An Historical Perspective; What We Have Learned and Will Learn from Sequence Data Bases; Databases; The Flow of Nucleotide Sequence Data into Data Banks: Role and Impact of Large-Scale Sequencing Projects; DNA Data Bank of Japan: Present Status and Future Plans; BIONET: Status and Future Plans; The Human Gene Mapping Library: Present Status and Future Directions; Sequence Comparisons
High-Efficiency Sequence Database Searching: Use of the Distributed Array ProcessorSequence Searching on Supercomputers; Protein Sequence Comparison on the Connection Machine CM-2; Computation of d2 : A Measure of Sequence Dissimilarity; Multiple Hypothesis Testing for Sequence Comparisons; Analysis; Superhelical Transitions and DNA Regulation; Non-Continuous Patterns and Compositional Complexity of Nucleic Acid Sequences; Application of Neural Networks and Other Machine Learning Algorithms to DNA Sequence Analysis
CPGA: A Prototype for Analysis of the Sequence-Structure-Function Relationship in the Human Genome ProjectStatistical Analysis of Nucleic Acid Sequences; GeneSys: A Knowledge Management System for Molecular Biology; Simulation and Analysis of Physical Mapping; Genetic Sequence Semantic and Syntactic Patterns; Index
