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

Sci. Signal., 15 February 2011
Vol. 4, Issue 160, p. pe9
DOI: 10.1126/scisignal.2001826

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

  1. H. Steven Wiley*
  1. EMSL, Pacific Northwest National Laboratory, Richland, WA 99352, USA
  1. *E-mail, steven.wiley{at}pnl.gov

Abstract

New technologies promise to provide unprecedented amounts of information that can build 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.

Citation:

H. S. Wiley, Integrating Multiple Types of Data for Signaling Research: Challenges and Opportunities. Sci. Signal. 4, pe9 (2011).
Science Signaling. ISSN 1937-9145 (online), 1945-0877 (print). Pre-2008: Science's STKE. ISSN 1525-8882