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Cancer Discov. 2014 Nov;4(11):1265-8. doi: 10.1158/2159-8290.CD-14-0774.

Social interactomes for enabling research communities.

Author information

1
Sage Bionetworks, Fred Hutchinson Cancer Research Center, Seattle, Washington. justin.guinney@sagebase.org mccormic@cc.ucsf.edu.
2
Sage Bionetworks, Fred Hutchinson Cancer Research Center, Seattle, Washington.
3
Department of Medical Oncology, Institut Gustave Roussy, Villejuif, France. Department of Biostatistics and Epidemiology, Institut Gustave Roussy, Villejuif, France. Department of Innovative Therapeutics and Early Drug Development, Institut Gustave Roussy, Villejuif, France. INSERM U981, University Paris Sud, Institut Gustave Roussy, Villejuif, France.
4
Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland. Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California. Department of Cell and Molecular Pharmacology, University of California, San Francisco, California. justin.guinney@sagebase.org mccormic@cc.ucsf.edu.

Abstract

Data-driven analyses of scientific abstracts with web apps such as "abstract interactomes" provide a new visualization tool for the biomedical research community to interactively navigate a rich assembly of investigators and identify common research topics. Alternative conference formats such as "social interactomes," with structured, albeit informal, discussions among attendees, are able to engage fellows and top investigators, facilitate the exchange of ideas, and encourage data sharing and future collaborations.

PMID:
25367949
DOI:
10.1158/2159-8290.CD-14-0774
[Indexed for MEDLINE]
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