Comparative Genomics RECOMB 2007 International Workshop, RECOMB-
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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
Glenn Tesler Dannie Durand (Eds.)
Comparative Genomics International Workshop, RECOMB-CG 2007 San Diego, CA, USA, September 16-18, 2007 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 Glenn Tesler University of California, San Diego Department of Mathematics 9500 Gilman Drive, La Jolla California 92093-0112, USA E-mail: [email protected] Dannie Durand Carnegie Mellon University Departments of Biological Sciences and Computer Science Pittsburgh, PA 15213, USA E-mail: [email protected]
Library of Congress Control Number: 2007934768
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 3-540-74959-4 Springer Berlin Heidelberg New York 978-3-540-74959-2 Springer Berlin Heidelberg New York
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Preface
The wealth of genomic data available today is a potential goldmine for basic research and economic development in the biomedical sciences. Comparison of related genomes offers enormous inferential power, revealing a wealth of knowledge about genome evolution, genetic function, and cellular processes. Recognition of this fact has spurred efforts to sequence a range of closely related primate and mammalian genomes, as well as concerted efforts to sequence multiple genomes in the yeast, Drosophila, and nematode lineages. Computational strategies to interpret and exploit these data are essential in order to realize the full value of these growing scientific resource. The annual RECOMB Satellite Workshop on Comparative Genomics (RECOMB-CG) is an interdisciplinary forum on all aspects of genome comparison, ranging from quantitative discoveries about genome structure to algorithms for comparative inference to theorems on the complexity of computational problems required f
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