Control Strategy Identification via Trap Spaces in Boolean Networks

The control of biological systems presents interesting applications such as cell reprogramming or drug target identification. A common type of control strategy consists in a set of interventions that, by fixing the values of some variables, force the syst

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Alessandro Abate Tatjana Petrov Verena Wolf (Eds.)

Computational Methods in Systems Biology 18th International Conference, CMSB 2020 Konstanz, Germany, September 23–25, 2020 Proceedings

123

Lecture Notes in Bioinformatics

12314

Subseries of Lecture Notes in Computer Science

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

Editorial Board Members Søren Brunak Technical University of Denmark, Kongens Lyngby, Denmark Mikhail S. Gelfand IITP, Research and Training Center on Bioinformatics, Moscow, Russia Thomas Lengauer Max Planck Institute for Informatics, Saarbrücken, Germany Satoru Miyano University of Tokyo, Tokyo, Japan Eugene Myers Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany Marie-France Sagot Université Lyon 1, Villeurbanne, France David Sankoff University of Ottawa, Ottawa, Canada Ron Shamir Tel Aviv University, Ramat Aviv, Tel Aviv, Israel Terry Speed Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia Martin Vingron Max Planck Institute for Molecular Genetics, Berlin, Germany W. Eric Wong University of Texas at Dallas, Richardson, TX, USA

More information about this series at http://www.springer.com/series/5381

Alessandro Abate Tatjana Petrov Verena Wolf (Eds.) •



Computational Methods in Systems Biology 18th International Conference, CMSB 2020 Konstanz, Germany, September 23–25, 2020 Proceedings

123

Editors Alessandro Abate Department of Computer Science University of Oxford Oxford, UK Verena Wolf Department of Computer Science Saarland University Saarbrücken, Germany

Tatjana Petrov Department of Computer and Information Science University of Konstanz Konstanz, Germany

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Bioinformatics ISBN 978-3-030-60326-7 ISBN 978-3-030-60327-4 (eBook) https://doi.org/10.1007/978-3-030-60327-4 LNCS Sublibrary: SL8 – Bioinformatics © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expre

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