Biological and Medical Data Analysis 6th International Symposium, IS
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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
José Luis Oliveira Víctor Maojo Fernando Martin-Sanchez António Sousa Pereira (Eds.)
Biological and Medical Data Analysis 6th International Symposium, ISBMDA 2005 Aveiro, Portugal, November 10-11, 2005 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 José Luis Oliveira António Sousa Pereira University of Aveiro Department of Electronics and Telecommunications (DET/IEETA) Campus Santiago, 3810 193 Aveiro, Portugal E-mail: {jlo,asp}@det.ua.pt Víctor Maojo Polytechnical University of Madrid School of Computer Science, Artificial Intelligence Lab Boadilla del Monte, 28660 Madrid, Spain E-mail: [email protected].fi.upm.es Fernando Martin-Sanchez Institute of Health Carlos III Department of Medical Bioinformatics Ctra. Majadahonda a Pozuelo, km. 2, 28220 Majadahonda, Madrid, Spain E-mail: [email protected]
Library of Congress Control Number: 2005934196
CR Subject Classification (1998): H.2.8, I.2, H.3, G.3, I.5.1, I.4, J.3, F.1 ISSN ISBN-10 ISBN-13
0302-9743 3-540-29674-3 Springer Berlin Heidelberg New York 978-3-540-29674-4 Springer Berlin Heidelberg New York
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Preface
The sequencing of the genomes of humans and other organisms is inspiring the development of new statistical and bioinformatics tools that we hope can modify the current understanding of human diseases and therapies. As our knowledge about the human genome increases so does our belief that to fully grasp the mechanisms of diseases we need to understand their genetic basis and the proteomics behind them and to integrate the knowledge generated in the laboratory in clinical settings. The new genetic and proteomic data has brought forth the possibility of developing new targets and therapies based on these findings, of implementing newly developed preventive measures, and also of discovering ne
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