Bioinformatics Technologies [electronic resource] /
Chen, Yi-Ping Phoebe.editor.
Solving modern biological problems requires advanced computational methods. Bioinformatics evolved from the active interaction of two fast-developing disciplines, biology and information technology. The central issue of this emerging field is the transformation of often distributed and unstructured biological data into meaningful information. This book describes the application of well-established concepts and techniques from areas like data mining, machine learning, database technologies, and visualization techniques to problems like protein data analysis, genome analysis and sequence databases. Chen has collected contributions from leading researchers in each area. The chapters can be read independently, as each offers a complete overview of its specific area, or, combined, this monograph is a comprehensive treatment that will appeal to students, researchers, and R&D professionals in industry who need a state-of-the-art introduction into this challenging and exciting young field.
Description based upon print version of record.
Includes bibliographical references and index.
to Bioinformatics -- Overview of Structural Bioinformatics -- Database Warehousing in Bioinformatics -- Data Mining for Bioinformatics -- Machine Learning in Bioinformatics -- Systems Biotechnology: a New Paradigm in Biotechnology Development -- Computational Modeling of Biological Processes with Petri Net-Based Architecture -- Biological Sequence Assembly and Alignment -- Modeling for Bioinformatics -- Pattern Matching for Motifs -- Visualization and Fractal Analysis of Biological Sequences -- Microarray Data Analysis.
Solving modern biological problems requires advanced computational methods. Bioinformatics evolved from the active interaction of two fast-developing disciplines, biology and information technology. The central issue of this emerging field is the transformation of often distributed and unstructured biological data into meaningful information. This book describes the application of well-established concepts and techniques from areas like data mining, machine learning, database technologies, and visualization techniques to problems like protein data analysis, genome analysis and sequence databases. Chen has collected contributions from leading researchers in each area. The chapters can be read independently, as each offers a complete overview of its specific area, or, combined, this monograph is a comprehensive treatment that will appeal to students, researchers, and R&D professionals in industry who need a state-of-the-art introduction into this challenging and exciting young field.
Application software.
Bioinformatics.
Human genetics.
Molecular biology.
Information storage and retrieval.
Pattern recognition.
Computer Applications.
Bioinformatics.
Human Genetics.
Molecular Medicine.
Information Storage and Retrieval.
Pattern Recognition.