Bioinformatics Technologies [electronic resource] /edited by Yi-Ping Phoebe Chen.
by Chen, Yi-Ping Phoebe [editor.]; SpringerLink (Online service).
Material type:
BookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.Description: XV, 396p. 129 illus. online resource.ISBN: 9783540268888.Subject(s): Computer science | Human genetics | Medicine | Information storage and retrieval systems | Optical pattern recognition | Bioinformatics | Computer Science | Computer Applications | Bioinformatics | Human Genetics | Molecular Medicine | Information Storage and Retrieval | Pattern RecognitionDDC classification: 004 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QA76.76.A65 (Browse shelf) | Available |
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| QA76.76.A65 Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction | QA76.76.A65 Social Informatics | QA76.76.A65 Evolving Ambient Intelligence | QA76.76.A65 Bioinformatics Technologies | QA76.76.A65 Web Communities | QA76.76.A65 Wiki | QA76.76.A65 Ubiquitous Mobile Information and Collaboration Systems |
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.
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