14. Collaborative Systems Biology: Open Source, Open Data, and Cloud Computing

  1. Sean Ekins2,3,4,5,6,
  2. Maggie A. Z. Hupcey7 and
  3. Antony J. Williams8
  1. Brian Pratt

Published Online: 3 MAY 2011

DOI: 10.1002/9781118026038.ch14

Collaborative Computational Technologies for Biomedical Research

Collaborative Computational Technologies for Biomedical Research

How to Cite

Pratt, B. (2011) Collaborative Systems Biology: Open Source, Open Data, and Cloud Computing, in Collaborative Computational Technologies for Biomedical Research (eds S. Ekins, M. A. Z. Hupcey and A. J. Williams), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118026038.ch14

Editor Information

  1. 2

    Jenkintown, Pennsylvania, USA

  2. 3

    ACT LLC, New York, New York, USA

  3. 4

    Collaborative Drug Discovery, Burlingame, California, USA

  4. 5

    Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland, USA

  5. 6

    Department of Pharmacology, University of Medicine and Dentistry of New Jersey, Robert Wood Johnson Medical School, Piscataway, New Jersey, USA

  6. 7

    PA Consulting Group, Princeton, New Jersey, USA

  7. 8

    Royal Society of Chemistry, Wake Forest, North Carolina, USA

Author Information

  1. Insilicos LLC, Seattle, Washington, USA

Publication History

  1. Published Online: 3 MAY 2011
  2. Published Print: 16 MAY 2011

Book Series:

  1. Wiley Series on Technologies for the Pharmaceutical Industry

Book Series Editors:

  1. Sean Ekins2,3,4,5,6

Series Editor Information

  1. 2

    Jenkintown, Pennsylvania, USA

  2. 3

    ACT LLC, New York, New York, USA

  3. 4

    Collaborative Drug Discovery, Burlingame, California, USA

  4. 5

    Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland, USA

  5. 6

    Department of Pharmacology, University of Medicine and Dentistry of New Jersey, Robert Wood Johnson Medical School, Piscataway, New Jersey, USA

ISBN Information

Print ISBN: 9780470638033

Online ISBN: 9781118026038

SEARCH

Keywords:

  • crowdsourcing;
  • open-data standards;
  • public data repositories

Summary

This chapter contains sections titled:

  • Introduction

  • Tradition of Not Very Collaborative Science

  • Impact of Open - Source Software on Truly Collaborative Science

  • Open Data Standards: Ontologies and Interchange Formats

  • Note on Assessing Open - Source Software

  • Constraints on Open - Source Science

  • Using Cloud Computing to Eliminate Barriers to Collaboration

  • Additional Benefits of Cloud Computing for Systems Biology

  • Some Examples of Cloud - Based Systems Biology Tools

  • Some Examples of Open - Source Systems Biology Tools in Proteomics

  • Public Data Repositories

  • Conclusion

  • References