{"product_id":"collaborative-computational-technologies-for-biomedical-research-isbn-9780470638033","title":"Collaborative Computational Technologies for Biomedical Research","description":"\u003cp\u003eMethods, Processes, and Tools for Collaboration\u003c\/p\u003e \u003cp\u003e\"The time has come to fundamentally rethink how we handle the building of knowledge in biomedical sciences today. This book describes how the computational sciences have transformed into being a key knowledge broker, able to integrate and operate across divergent data types.\"—Bryn Williams-Jones, Associate Research Fellow, Pfizer\u003c\/p\u003e \u003cp\u003eThe pharmaceutical industry utilizes an extended network of partner organizations in order to discover and develop new drugs, however there is currently little guidance for managing information and resources across collaborations.\u003c\/p\u003e \u003cp\u003eFeaturing contributions from the leading experts in a range of industries, Collaborative Computational Technologies for Biomedical Research provides information that will help organizations make critical decisions about managing partnerships, including:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eServing as a user manual for collaborations\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eTackling real problems from both human collaborative and data and informatics perspectives\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eProviding case histories of biomedical collaborations and technology-specific chapters that balance technological depth with accessibility for the non-specialist reader\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eA must-read for anyone working in the pharmaceuticals industry or academia, this book marks a major step towards widespread collaboration facilitated by computational technologies.\u003c\/p\u003e  \u003cb\u003eFOREWORD xi\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAlpheus Bingham\u003c\/i\u003e  \u003cp\u003e\u003cb\u003ePREFACE xv\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCONTRIBUTORS xix\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART I GETTING PEOPLE TO COLLABORATE 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. The Need for Collaborative Technologies in Drug Discovery 3\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eChris L. Waller, Ramesh V. Durvasula, and Nick Lynch\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Collaborative Innovation: The Essential Foundation of Scientific Discovery 19\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRobert Porter Lynch\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Models for Collaborations and Computational Biology 39\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eShawnmarie Mayrand-Chung, Gabriela Cohen-Freue, and Zsuzsanna Hollander\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Precompetitive Collaborations in the Pharmaceutical Industry 55\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJackie Hunter\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Collaborations in Chemistry 85\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSean Ekins, Antony J. Williams, and Christina K. Pikas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Consistent Patterns in Large-Scale Collaboration 99\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRobin W. Spencer\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Collaborations Between Chemists and Biologists 113\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVictor J. Hruby\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Ethics of Collaboration 121\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRichard J. McGowan, Matthew K. McGowan, and Garrett J. McGowan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. Intellectual Property Aspects of Collaboration 133\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJohn Wilbanks\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART II METHODS AND PROCESSES FOR COLLABORATIONS 147\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Scientific Networking and Collaborations 149\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eEdward D. Zanders\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. Cancer Commons: Biomedicine in the Internet Age 161\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJeff Shrager, Jay M. Tenenbaum, and Michael Travers\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. Collaborative Development of Large-Scale Biomedical Ontologies 179\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eTania Tudorache and Mark A. Musen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. Standards for Collaborative Computational Technologies for Biomedical Research 201\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSean Ekins, Antony J. Williams, and Maggie A. Z. Hupcey\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14. Collaborative Systems Biology: Open Source, Open Data, and Cloud Computing 209\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eBrian Pratt\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15. Eight Years Using Grids for Life Sciences 221\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVincent Breton, Lydia Maigne, David Sarramia, and David Hill\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16. Enabling Precompetitive Translational Research: A Case Study 241\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSándor Szalma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17. Collaboration in Cancer Research Community: Cancer Biomedical Informatics Grid (caBIG) 261\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGeorge A. Komatsoulis\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18. Leveraging Information Technology for Collaboration in Clinical Trials 281\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eO. K. Baek\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART III TOOLS FOR COLLABORATIONS 301\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19. Evolution of Electronic Laboratory Notebooks 303\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eKeith T. Taylor\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20. Collaborative Tools to Accelerate Neglected Disease Research: Open Source Drug Discovery Model 321\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAnshu Bhardwaj, Vinod Scaria, Zakir Thomas, Santhosh Adayikkoth, Open Source Drug Discovery (OSDD) Consortium, and Samir K. Brahmachari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21. Pioneering Use of the Cloud for Development of Collaborative Drug Discovery (CDD) Database 335\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSean Ekins, Moses M. Hohman, and Barry A. Bunin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22. Chemspider: a Platform for Crowdsourced Collaboration to Curate Data Derived From Public Compound Databases 363\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAntony J. Williams\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e23. Collaborative-Based Bioinformatics Applications 387\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eBrian D. Halligan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e24. Collaborative Cheminformatics Applications 399\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRajarshi Guha, Ola Spjuth, and Egon Willighagen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART IV THE FUTURE OF COLLABORATIONS 423\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e25. Collaboration Using Open Notebook Science in Academia 425\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJean-Claude Bradley, Andrew S. I. D. Lang, Steve Koch, and Cameron Neylon\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e26. Collaboration and the Semantic Web 453\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eChristine Chichester and Barend Mons\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e27. Collaborative Visual Analytics Environment for Imaging Genetics 467\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eZhiyu He, Kevin Ponto, and Falko Kuester\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e28. Current and Future Challenges for Collaborative Computational Technologies for the Life Sciences 491\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAntony J. Williams, Renée J. G. Arnold, Cameron Neylon, Robin W. Spencer, Stephan Schürer, and Sean Ekins\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eINDEX 519\u003c\/p\u003e  \"The book is of interest to researchers developing IT systems in the pharmaceutical industry, and for those participating in drug discovery collaborations.\" (Book News, 1 October 2011)  \u003cp\u003e\"What unveiled itself as I turned the pages was ... a truthful, meaningful accounting of an evolving social science, perhaps a hope that the pure thrill of crowdsourcing may accelerate the process of discovery while preserving a free market economy.... The book contains... [contributions from a] multi-national task force if you will of some of the world's finest minds in life and physical science and ‘cloud-native' knowledge-sharing.\" (Untangled Health, 11 August 2011)\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e  \u003cb\u003eSEAN EKINS, MSc, PhD, DSc\u003c\/b\u003e, is the Principal at Collaborations in Chemistry, and Collaborations Director at Collaborative Drug Discovery, Inc., as well as an Adjunct Associate Professor in the Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy. He has published more than 170 papers and book chapters on computational and in vitro drug discovery approaches and has previously edited or co-edited three books for Wiley.  \u003cp\u003e\u003cb\u003eMAGGIE A. Z. HUPCEY, PhD,\u003c\/b\u003e is a chemist working within the Life Sciences and Healthcare Practice of PA Consulting Group in Princeton, New Jersey. She has worked on collaborative projects for the design and development of new products and processes in the medical device, drug delivery, and drug discovery fields, including presubmission and post-launch regulatory compliance activities.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eANTONY J. WILLIAMS, PhD, FRSC\u003c\/b\u003e, is currently Vice President, Strategic Development, at the Royal Society of Chemistry and holds an adjunct position at UNC-Chapel Hill. He has written chapters for many books and published more than 100 peer-reviewed papers and book chapters on NMR, predictive ADME methods, Internet-based tools, crowdsourcing, and database curation. He is an active blogger and participant in the Internet chemistry network.\u003c\/p\u003e  \u003cp\u003eMethods, Processes, and Tools for Collaboration\u003c\/p\u003e \u003cp\u003e\"The time has come to fundamentally rethink how we handle the building of knowledge in biomedical sciences today. This book describes how the computational sciences have transformed into being a key knowledge broker, able to integrate and operate across divergent data types.\"—Bryn Williams-Jones, Associate Research Fellow, Pfizer\u003c\/p\u003e \u003cp\u003eThe pharmaceutical industry utilizes an extended network of partner organizations in order to discover and develop new drugs, however there is currently little guidance for managing information and resources across collaborations.\u003c\/p\u003e \u003cp\u003eFeaturing contributions from the leading experts in a range of industries, Collaborative Computational Technologies for Biomedical Research provides information that will help organizations make critical decisions about managing partnerships, including:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eServing as a user manual for collaborations\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eTackling real problems from both human collaborative and data and informatics perspectives\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eProviding case histories of biomedical collaborations and technology-specific chapters that balance technological depth with accessibility for the non-specialist reader\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eA must-read for anyone working in the pharmaceuticals industry or academia, this book marks a major step towards widespread collaboration facilitated by computational technologies.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988944240869,"sku":"NP9780470638033","price":174.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470638033.jpg?v=1761782152","url":"https:\/\/k12savings.com\/es\/products\/collaborative-computational-technologies-for-biomedical-research-isbn-9780470638033","provider":"K12savings","version":"1.0","type":"link"}