February 15, 2011
Journal Article

Integrating Multiple Types of Data for Signaling Research: Challenges and Opportunities

Abstract

New technologies promise to provide unprecedented amounts of information that can provide a foundation for creating predictive models of cell signaling pathways. To be useful, however, this information must be integrated into a coherent framework. In addition, the sheer volume of data gathered from the new technologies requires computational approaches for its analysis. Unfortunately, there are many barriers to data integration and analysis, mostly because of a lack of adequate data standards and their inconsistent use by scientists. However, solving the fundamental issues of data sharing will enable the investigation of entirely new areas of cell signaling research.

Revised: March 21, 2011 | Published: February 15, 2011

Citation

Wiley H.S. 2011. Integrating Multiple Types of Data for Signaling Research: Challenges and Opportunities. Science Signaling 4, no. 160:pe9. PNNL-SA-77372. doi:10.1126/scisignal.2001826