Systems Biology and Regulatory Genomics Joint Annual RECOMB 2005
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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
Eleazar Eskin Trey Ideker Ben Raphael Christopher Workman (Eds.)
Systems Biology and Regulatory Genomics Joint Annual RECOMB 2005 Satellite Workshops on Systems Biology and on Regulatory Genomics San Diego, CA, USA, December 2-4, 2005 Revised Selected Papers
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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 Eleazar Eskin Ben Raphael University of California Department of Computer Science San Diego, CA, USA E-mail: {eeskin,braphael}@cs.ucsd.edu Trey Ideker Christopher Workman University of California Department of Bioengineering San Diego, CA, USA E-mail: {trey,cworkman}@bioeng.ucsd.edu
Library of Congress Control Number: 2006940071
CR Subject Classification (1998): F.2, G.3, E.1, H.2.8, J.3 LNCS Sublibrary: SL 8 – Bioinformatics ISSN ISBN-10 ISBN-13
0302-9743 3-540-48293-8 Springer Berlin Heidelberg New York 978-3-540-48293-2 Springer Berlin Heidelberg New York
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Preface
It has become increasingly evident that the use of large-scale experimental data and the application of principles from systems biology are gaining widespread acceptance in mainstream biology. Systems biology involves the use of global cellular measurements, i.e., genomic, proteomic, and metabolomic, to construct computational models of cellular processes and disease. These approaches involve an integration of experimental and computational techniques and may include: 1) developing models of cellular processes, 2) measuring the response to perturbations of model components, and 3) iteratively formulating and testing new hypotheses for unexpected observations. A research area that is particularly important to systems biology is the study of gene regulatory networks. Although genome sequencing efforts have been tremendously successful, much is unknown about the regulation
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