tugHall: A Tool to Reproduce Darwinian Evolution of Cancer Cells for Simulation-Based Personalized Medicine
Here, we present new version 2.1 of tugHall (tumor gene-Hallmark) cancer-cell evolution simulator which is accelerated by clone-based approach. The tool is based on the model connected to the well-known cancer hallmarks with the specific mutational states
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George Bebis · Max Alekseyev · Heyrim Cho · Jana Gevertz · Maria Rodriguez Martinez (Eds.)
Mathematical and Computational Oncology Second International Symposium, ISMCO 2020 San Diego, CA, USA, October 8–10, 2020 Proceedings
123
Lecture Notes in Bioinformatics
12508
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 subseries at http://www.springer.com/series/5381
George Bebis Max Alekseyev Heyrim Cho Jana Gevertz Maria Rodriguez Martinez (Eds.) •
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Mathematical and Computational Oncology Second International Symposium, ISMCO 2020 San Diego, CA, USA, October 8–10, 2020 Proceedings
123
Editors George Bebis University of Nevada Reno Reno, NV, USA
Max Alekseyev George Washington University Ashburn, VA, USA
Heyrim Cho University of California, Riverside Riverside, CA, USA
Jana Gevertz The College of New Jersey Ewing, NJ, USA
Maria Rodriguez Martinez IBM Research - Zurich Rüschlikon, Switzerland
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Bioinformatics ISBN 978-3-030-64510-6 ISBN 978-3-030-64511-3 (eBook) https://doi.org/10.1007/978-3-030-64511-3 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 tr
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