Biological and Medical Data Analysis 7th International Symposium
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Edited by S. Istrail, P. Pevzner, and M. Waterman Editorial Board: A. Apostolico S. Brunak M. Gelfand T. Lengauer S. Miyano G. Myers M.-F. Sagot D. Sankoff R. Shamir T. Speed M. Vingron W. Wong
Subseries of Lecture Notes in Computer Science
Nicos Maglaveras Ioanna Chouvarda Vassilis Koutkias Rüdiger Brause (Eds.)
Biological and Medical Data Analysis 7th International Symposium, ISBMDA 2006 Thessaloniki, Greece, December 7-8, 2006 Proceedings
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Series Editors Sorin Istrail, Brown University, Providence, RI, USA Pavel Pevzner, University of California, San Diego, CA, USA Michael Waterman, University of Southern California, Los Angeles, CA, USA Volume Editors Nicos Maglaveras Ioanna Chouvarda Vassilis Koutkias Aristotle University The Medical School Lab. of Medical Informatics – Box 323 54124 Thessaloniki, Greece E-mail: {nicmag,ioanna,bikout}@med.auth.gr Rüdiger Brause J.W. Goethe-University Department of Computer Science and Mathematics Institute for Informatics Robert-Mayer Str. 11-15, 60054 Frankfurt, Germany E-mail: [email protected]
Library of Congress Control Number: 2006937536
CR Subject Classification (1998): H.2.8, I.2, H.3, G.3, I.5.1, I.4, J.3, F.1 LNCS Sublibrary: SL 8 – Bioinformatics ISSN ISBN-10 ISBN-13
0302-9743 3-540-68063-2 Springer Berlin Heidelberg New York 978-3-540-68063-5 Springer Berlin Heidelberg New York
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Preface
The area of medical and biological data analysis has undergone numerous transformations in recent years. On the one hand, the Human Genome Project has triggered an unprecedented growth in gathering new types of data from the molecular level, which has in turn raised the need for data management and processing and led to the exponential growth of the bioinformatics area. On the other hand, new bits of information coming from molecular data have started filling some long-standing gaps of knowledge, complementing the huge amount of phenotypic data and relevant medical analysis. Thus, bioinformatics, medical informatics and biomedical engineering disciplines, contributing to the vertical integration of knowledge and data, using information technology platforms and enabling technologies such as mic
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