Bioinformatics Technologies

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...

Full description

Bibliographic Details
Other Authors: Chen, Yi-Ping Phoebe (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005, 2005
Edition:1st ed. 2005
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02792nmm a2200385 u 4500
001 EB000373181
003 EBX01000000000000000226233
005 00000000000000.0
007 cr|||||||||||||||||||||
008 130626 ||| eng
020 |a 9783540268888 
100 1 |a Chen, Yi-Ping Phoebe  |e [editor] 
245 0 0 |a Bioinformatics Technologies  |h Elektronische Ressource  |c edited by Yi-Ping Phoebe Chen 
250 |a 1st ed. 2005 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2005, 2005 
300 |a XV, 396 p  |b online resource 
505 0 |a 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 
653 |a Bioinformatics 
653 |a Medical Genetics 
653 |a Medicine / Research 
653 |a Information Storage and Retrieval 
653 |a Biology / Research 
653 |a Application software 
653 |a Information storage and retrieval systems 
653 |a Medical genetics 
653 |a Biomedical Research 
653 |a Computer and Information Systems Applications 
653 |a Automated Pattern Recognition 
653 |a Pattern recognition systems 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
028 5 0 |a 10.1007/b138246 
856 4 0 |u https://doi.org/10.1007/b138246?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 005.3 
520 |a 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