Setting the standards for signal transduction research

Saez-Rodriguez, J; Alexopoulos, LG; Stolovitzky, G

dc.contributor.author	Saez-Rodriguez, J	en
dc.contributor.author	Alexopoulos, LG	en
dc.contributor.author	Stolovitzky, G	en
dc.date.accessioned	2014-03-01T11:45:12Z
dc.date.available	2014-03-01T11:45:12Z
dc.date.issued	2011	en
dc.identifier.issn	1937-9145	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/37279
dc.subject.other	biotechnology	en
dc.subject.other	cell assay	en
dc.subject.other	computer simulation	en
dc.subject.other	data analysis	en
dc.subject.other	flow cytometry	en
dc.subject.other	gene expression	en
dc.subject.other	mathematical model	en
dc.subject.other	priority journal	en
dc.subject.other	proteomics	en
dc.subject.other	review	en
dc.subject.other	signal transduction	en
dc.title	Setting the standards for signal transduction research	en
heal.type	other	en
heal.identifier.primary	10.1126/scisignal.2001844	en
heal.identifier.secondary	http://dx.doi.org/10.1126/scisignal.2001844	en
heal.identifier.secondary	pe10	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	Major advances in high-throughput technology platforms, coupled with increasingly sophisticated computational methods for systematic data analysis, have provided scientists with tools to better understand the complexity of signaling networks. In this era of massive and diverse data collection, standardization efforts that streamline data gathering, analysis, storage, and sharing are becoming a necessity. Here, we give an overview of current technologies to study signal transduction. We argue that along with the opportunities the new technologies open, their heterogeneous nature poses critical challenges for data handling that are further increased when data are to be integrated in mathematical models. Efficient standardization through markup languages and data annotation is a sine qua non condition for a systems-level analysis of signaling processes. It remains to be seen the extent to which and the speed at which the emerging standardization efforts will be embraced by the signaling community.	en
heal.publisher	AMER ASSOC ADVANCEMENT SCIENCE	en
heal.journalName	Science Signaling	en
dc.identifier.doi	10.1126/scisignal.2001844	en
dc.identifier.isi	ISI:000287351300005	en
dc.identifier.volume	4	en
dc.identifier.issue	160	en