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.
Rezensionen / Stimmen
From the reviews:
"Today, the word 'bioinformatics' is most commonly used to denote computational molecular biology. . This book collects surveys of the most significant themes of the field, written by various researchers. . Extensive bibliographies accompany each chapter. . the wide range of subject matter covered makes the book a good starting point for students or researchers with the necessary computer science background who are embarking on bioinformatics projects or research in the area." (R. M. Malyankar, Computing Reviews, April, 2006)
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Für höhere Schule und Studium
Research
Illustrationen
Maße
Höhe: 23.5 cm
Breite: 15.5 cm
Gewicht
ISBN-13
978-3-540-20873-0 (9783540208730)
DOI
Schweitzer Klassifikation
Professor Yi-Ping Phoebe Chen is Professor and Chair & Head of Department at the Department of Computer Science and Computer Engineering, La Trobe University, Melbourne Australia. Prof Chen is the Chief Investigator of ARC Centre of Excellence in Bioinformatics from 2003-2010. Phoebe received her BInfTech degree with First Class Honours and PhD in Computer Science (Bioinformatics) from the University of Queensland. Before she joined La Trobe, Phoebe was Associate Professor (Reader) in Deakin University from Dec 2003 to April 2010. She worked as a Associate Lecturer/Lecturer/Senior Lecturer in Queensland University of Technology from Jul 1999 to Nov 2003.
She is currently working on knowledge discovery technologies and is especially interested in their application to genomics and biomedical science. Her research focus is to find best solutions for mining, integrating and analyzing complex data structure and functions for scientific and biomedical applications. She has been working in the area of bioinformatics, health informatics, multimedia databases, query system and systems biology, co-authored over 150 research papers with many published in top journals and conferences such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Information Technology in Biomedicine, Nucleic Acids Research, BMC Genomics, BMC Bioinformatics, Current Drug Metabolism, Data Mining and Knowledge Discovery, IEEE Transactions on Knowledge and Data Engineering, Information Systems and ACM Transactions.
She is steering committee chair of Asia-Pacific Bioinformatics Conference (founder) and International conference on Multimedia Modelling. She has been on the program committees of over 100 international conferences, including top ranking conferences such as ICDE, ICPR, ISMB, CIKM etc. Phoebe is a senior member of IEEE, member of ACM.
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.
