The Challenges of Systems Biology

Edited by Edited by Gustavo Stolovitzky (IBM Computational Biology Center, Yorktown Heights, New York), Pascal Kahlem (EMBL - European Bioinformatics Institute, Hinxton, United Kingdom) and Andrea Califano (Columbia University, New York, New York)
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The Challenges of Systems Biology

Published: March 2009

Volume 1158

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The biotechnological advances of the last decade have confronted us with an explosion of data. The task of organizing and structuring this information is truly daunting. Because no single research laboratory can handle the problems on its own, a number of community efforts have emerged to address the increasing complexities in data analyses, modeling, experimental design, and wet lab experimentation. The volume presents some of the work developed under the umbrella of two such community efforts: the European Network of Excellence (ENFIN) and the Dialogue on Reverse Engineering Assessment and Methods (DREAM) project. The ENFIN addresses discrete function prediction, network reconstruction, and systems-level modeling, emphasizing the importance of strong collaboration between “dry” and “wet” laboratories. The DREAM project aims to foster collaboration between computational and experimental biologists to understand the limitations, and to enhance the strengths, of the efforts to model and reverse engineer cellular networks from high-throughput data.