- Full Description
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.
- Table of Contents
Table of Contents
- Introduction 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 Motif.
- Visualization and Fractal Analysis of Biological Sequences.
- Microarray Data Analysis.
- References, Index.
If you think that you've found an error in this book, please let us know by emailing to email@example.com . You will find any confirmed erratum below, so you can check if your concern has already been addressed. No errata are currently published