14. Collaborative Systems Biology: Open Source, Open Data, and Cloud Computing
- Sean Ekins2,3,4,5,6,
- Maggie A. Z. Hupcey7,
- Antony J. Williams8
Published Online: 3 MAY 2011
DOI: 10.1002/9781118026038.ch14
Copyright © 2011 John Wiley & Sons, Inc.
Book Title

Collaborative Computational Technologies for Biomedical Research
Additional Information
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
- 2
Jenkintown, Pennsylvania, USA
- 3
ACT LLC, New York, New York, USA
- 4
Collaborative Drug Discovery, Burlingame, California, USA
- 5
Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland, USA
- 6
Department of Pharmacology, University of Medicine and Dentistry of New Jersey, Robert Wood Johnson Medical School, Piscataway, New Jersey, USA
- 7
PA Consulting Group, Princeton, New Jersey, USA
- 8
Royal Society of Chemistry, Wake Forest, North Carolina, USA
Publication History
- Published Online: 3 MAY 2011
- Published Print: 16 MAY 2011
Book Series:
Book Series Editors:
- Sean Ekins2,3,4,5,6
Series Editor Information
- 2
Jenkintown, Pennsylvania, USA
- 3
ACT LLC, New York, New York, USA
- 4
Collaborative Drug Discovery, Burlingame, California, USA
- 5
Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland, USA
- 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
- Summary
- Chapter
- References
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
