The fields of molecular biology and genetics are faced with an enormous accumulation of information: DNA sequencing, associated sequences of amino acids in proteins, genetics, macromolecular structures and other sets have created a quantitative backlog of data which needs to be organized and analyzed.
The fields of molecular biology and genetics are faced with an enormous accumulation of information: DNA sequencing, associated sequences of amino acids in proteins, genetics, macromolecular structures and other sets have created a quantitative backlog of data which needs to be organized and analyzed.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Preface Introductory The Human Genome: An Introduction Computation and the Human Genome Project: An Historical Perspective What We Have Learned and Will Learn from Sequence Databases 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 Processor Sequence Searching on Supercomputers Protein Sequence Comparison on the Connection Machine CM-2 Computation of d 2: 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 1 : A Prototype for Analysis of the Sequence-Structure-Function Relationship in the Human Genome Project Statistical of Nucleic Acid Sequences GeneSys: A Knowledge Management System for Molecular Biology Simulation and Analysis of Physical Mapping Genetic Sequence Semantic and Syntactic Patterns
Preface Introductory The Human Genome: An Introduction Computation and the Human Genome Project: An Historical Perspective What We Have Learned and Will Learn from Sequence Databases 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 Processor Sequence Searching on Supercomputers Protein Sequence Comparison on the Connection Machine CM-2 Computation of d 2: 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 1 : A Prototype for Analysis of the Sequence-Structure-Function Relationship in the Human Genome Project Statistical of Nucleic Acid Sequences GeneSys: A Knowledge Management System for Molecular Biology Simulation and Analysis of Physical Mapping Genetic Sequence Semantic and Syntactic Patterns
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