Network models of disease biology
Open Network Biology publishes articles relating to predictive, network-based models of living systems linked to the corresponding coherent data sets upon which the models are based, enabling a broad readership to evolve the models towards a more complete understanding of complex phenotypes. In addition to articles describing these large data sets, the journal also welcomes submissions of original research, software and methods, along with reviews and commentary, relevant to the emerging field of network biology.
Now accepting submissions
Open Network Biology is accepting submissions; please use the online submission system to submit your manuscript.
For all enquiries about the journal, please contact: editorial@opennetworkbiology.com.
Editorial Board
Editor-in-Chief
- Eric Schadt, Pacific Biosciences, United States of America
Editorial Board members
- Jim Bullard, Pacific Biosciences, United States of America
- Atul Butte, Stanford University, United States of America
- Andrea Califano, Columbia University, United States of America
- Stephen Friend, Sage Bionetworks, United States of America
- Steve Horvath, University of California, LA, United States of America
- Christina Kendziorski, University of Wisconsin, United States of America
- Iya Khail, Gene Network Sciences, United States of America
- Asif Khalak, Pacific Biosciences, United States of America
- Daphne Koller, Stanford University, United States of America
- Michael Linderman, Stanford University, United States of America
- Jake Lusis, University of Califonia Los Angeles, United States of America
- Paul McDonagh, Gene Network Sciences, United States of America
- Josh Millstein, University of Southern California, United States of America
- Garry Nolan, Stanford University, United States of America
- Fritz Roth, Harvard Medical School, United States of America
- Victoria Stodden, Columbia University, United States of America
- Steve Turner, Pacific Biosciences, United States of America
- Paul Uhlir, National Academy of Sciences, United States of America
- John Wilbanks, Creative Commons, United States of America
- Brian Yandel, University of Wisconsin, United States of America
- Bin Zhang, Sage Bionetworks, United States of America
- Jun Zhu, Sage Bionetwork, United States of America
Upcoming conference
The third annual Sage Bionetworks Commons Congress took place in San Francisco on the 20th - 21st April, 2012.
Find out more information and view videos of all the talks here.
Editor's profile
Eric Schadt
"Living systems are a complex interplay of a diversity of molecular components operating at a hierarchy of levels, including intracellular, intercellular, tissue, organ and whole system levels. Using datasets that span genomic variation, intermediate measurements of genomic activity, and clinical observation, network biologists maximally integrate these data to form biological network models that elucidate our understanding of living systems and the complex phenotypes like disease that emerge from such systems. There is a pressing need to persist network-based predictive models of complex phenotypes to enable communities of researchers to directly assess the models, construct them from existing datasets to reproduce published results, and ultimately evolve the models towards a more complete understanding of complex phenotypes. With Open Network Biology we hope to take the first steps to enabling network-based models to become a more efficient representation of biological knowledge and understanding."
Eric Schadt is the Chief Scientific Officer at Pacific Biosciences in Menlo Park, CA, a co-founder of Sage Bionetworks in Seattle, WA, and an affiliate professor in the department of medical genetics at the University of Washington. Eric has focused for more than a decade on the integration of high-dimensional, large-scale data to construct predictive models of complex phenotypes like common human diseases, advocating for predictive network-based models as a primary endpoint in life sciences and biomedical research.
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