Collaborative Computational Technologies for Biomedical Research

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Collaborative Computational Technologies for
Biomedical Research
Sean Ekins, Maggie A. Z. Hupcey, Antony J. Williams (Eds.)
Foreword by Alpheus Bingham
PART I GETTING PEOPLE TO COLLABORATE
1. The Need for Collaborative Technologies in Drug Discovery (Chris L. Waller, Ramesh V. Durvasula, and
Nick Lynch)
2. Collaborative Innovation: The Essential Foundation of Scientific Discovery (Robert Porter Lynch)
3. Models for Collaborations and Computational Biology (Shawnmarie Mayrand-Chung, Gabriela Cohen-Freue,
and Zsuzsanna Hollander)
4. Precompetitive Collaborations in the Pharmaceutical Industry (Jackie Hunter)
5. Collaborations in Chemistry (Sean Ekins, Antony J. Williams, and Christina K. Pikas)
A must-read for anyone working in the 6. Consistent Patterns in Large-Scale Collaboration (Robin W. Spencer)
pharmaceuticals industry or academia,
this book marks a major step towards 7. Collaborations Between Chemists and Biologists (Victor J. Hruby)
widespread collaboration facilitated by
computational technologies. 8. Ethics of Collaboration (Richard J. McGowan, Matthew K. McGowan, and Garrett J. McGowan)
The time has come to fundamentally 9. Intellectual Property Aspects of Collaboration (John Wilbanks)
re-think how we handle the building
PART II METHODS AND PROCESSES FOR COLLABORATIONS
of knowledge in biomedical sciences
today. This book describes how the 10. Scientific Networking and Collaborations (Edward D. Zanders)
computational sciences have
transformed into being a key 11. Cancer Commons: Biomedicine in the Internet Age (Jeff Shrager, Jay M. Tenenbaum, and Michael Travers)
knowledge broker, able to integrate
and operate across divergent data 12. Collaborative Development of Large-Scale Biomedical Ontologies (Tania Tudorache and Mark A. Musen)
types. – Bryn Williams-Jones,
Associate Research Fellow, Pfizer 13. Standards for Collaborative Computational Technologies for Biomedical Research (Sean Ekins, Antony J.
Williams, and Maggie A. Z. Hupcey)
ISBN: 978-0-470-63803-3 •US$125.00 14. Collaborative Systems Biology: Open Source, Open Data, and Cloud Computing (Brian Pratt)
/ CAN $138.00 / £76.95 / €92.40 • 576
pages • Hardcover • May 2011 15. Eight Years Using Grids for Life Sciences (Vincent Breton, Lydia Maigne, David Sarramia, and David Hill)
16. Enabling Precompetitive Translational Research: A Case Study (Sándor Szalma)
ORDERING INFORMATION 17. Collaboration in Cancer Research Community: Cancer Biomedical Informatics Grid (caBIG) (George A.
When ordering, Komatsoulis)
mention Promo Code 18. Leveraging Information Technology for Collaboration in Clinical Trials (O. K. Baek)
17033
and receive a 20% discount! PART III TOOLS FOR COLLABORATIONS
North, Central & South 19. Evolution of Electronic Laboratory Notebooks (Keith T. Taylor)
America
Tel: 877.762.2974 20. Collaborative Tools to Accelerate Neglected Disease Research: Open Source Drug Discovery Model (Anshu
Bhardwaj, Vinod Scaria, Zakir Thomas, Santhosh Adayikkoth,and Samir K. Brahmachari)
Email: custserv@wiley.com
Internet: www.wiley.com 21. Pioneering Use of the Cloud for Development of Collaborative Drug Discovery (CDD) Database (Sean Ekins,
Europe, Middle East, Africa & Moses
Asia M. Hohman, and Barry A. Bunin)
Tel: +44 (0) 1243 843 294 22. Chemspider: a Platform for Crowdsourced Collaboration to Curate Data Derived From Public Compound
Email: cs-books@wiley.co.uk Databases (Antony J. Williams)
Internet: www.wileyeurope.com
23. Collaborative-Based Bioinformatics Applications (Brian D. Halligan)
Germany, Switzerland, & Austria
Tel: +49 (0) 6201 606 400 24. Collaborative Cheminformatics Applications (Rajarshi Guha, Ola Spjuth, and Egon Willighagen)
Email: service@wiley-vch.de
PART IV THE FUTURE OF COLLABORATIONS
Internet: www.wiley-vch.de
25. Collaboration Using Open-Notebook Science in Academia (Jean-Claude Bradley, Andrew S. I. D. Lang, Steve
Koch,

2. and Cameron Neylon)
26. Collaboration and the Semantic Web (Christine Chichester and Barend Mons)
27. Collaborative Visual Analytics Environment for Imaging Genetics (Zhiyu He, Kevin Ponto, and Falko Kuester)
28. Current and Future Challenges for Collaborative Computational Technologies for the Life Sciences (Antony
J.
Williams, Renée J.G. Arnold, Cameron Neylon, Robin W. Spencer, Stephan Schürer, and Sean Ekins)