Data Integration in the Life Sciences 6th International Workshop
Data integration in the life sciences continues to be important but challe- ing. The ongoing development of new experimental methods gives rise to an increasingly wide range of data sets, which in turn must be combined to allow more integrative views of b
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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
Norman W. Paton Paolo Missier Cornelia Hedeler (Eds.)
Data Integration in the Life Sciences 6th International Workshop, DILS 2009 Manchester, UK, July 20-22, 2009 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 Norman W. Paton Paolo Missier Cornelia Hedeler University of Manchester School of Computer Science Oxford Street, Manchester, M13 9PL, UK E-mail: [email protected] [email protected] [email protected]
Library of Congress Control Number: 2009929939
CR Subject Classification (1998): H.2.8, J.3, E.2, H.2, H.3.5 LNCS Sublibrary: SL 8 – Bioinformatics ISSN ISBN-10 ISBN-13
0302-9743 3-642-02878-0 Springer Berlin Heidelberg New York 978-3-642-02878-6 Springer Berlin Heidelberg New York
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Preface
Data integration in the life sciences continues to be important but challenging. The ongoing development of new experimental methods gives rise to an increasingly wide range of data sets, which in turn must be combined to allow more integrative views of biological systems. Indeed, the growing prominence of systems biology, where mathematical models characterize behaviors observed in experiments of different types, emphasizes the importance of data integration to the life sciences. In this context, the representation of models of biological behavior as data in turn gives rise to challenges relating to provenance, data quality, annotation, etc., all of which are associated with significant research activities within computer science. The Data Integration in the Life Sciences (DILS) Workshop Series brings together data and knowledge management researchers from the computer science research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identified in the life scienc
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