TARCLOUD: A cloud-based platform to support miRNA target prediction

Vergoulis, T; Alexakis, M; Dalamagas, T; Maragkakis, M; Hatzigeorgiou, AG; Sellis, T

dc.contributor.author	Vergoulis, T	en
dc.contributor.author	Alexakis, M	en
dc.contributor.author	Dalamagas, T	en
dc.contributor.author	Maragkakis, M	en
dc.contributor.author	Hatzigeorgiou, AG	en
dc.contributor.author	Sellis, T	en
dc.date.accessioned	2014-03-01T02:54:02Z
dc.date.available	2014-03-01T02:54:02Z
dc.date.issued	2012	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36549
dc.subject	Cloud Computing	en
dc.subject	miRNA target prediction	en
dc.subject.other	CPU-intensive	en
dc.subject.other	Distributed programming model	en
dc.subject.other	Experimental identification	en
dc.subject.other	Human genomes	en
dc.subject.other	Intuitive interfaces	en
dc.subject.other	MicroRNAs	en
dc.subject.other	MicroSoft	en
dc.subject.other	Near-real time	en
dc.subject.other	Protein production	en
dc.subject.other	Research infrastructure	en
dc.subject.other	Small RNA	en
dc.subject.other	Target prediction	en
dc.subject.other	Target proteins	en
dc.subject.other	C (programming language)	en
dc.subject.other	Cloud computing	en
dc.subject.other	Computer programming	en
dc.subject.other	Genes	en
dc.subject.other	Molecules	en
dc.subject.other	RNA	en
dc.subject.other	Windows operating system	en
dc.subject.other	Forecasting	en
dc.title	TARCLOUD: A cloud-based platform to support miRNA target prediction	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-31235-9_48	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-31235-9_48	en
heal.publicationDate	2012	en
heal.abstract	Micro RNAs (miRNAs) are small RNA molecules that target protein coding genes and inhibit protein production. Since experimental identification of miRNA targets poses difficulties, computational miRNA target prediction is one of the key means in deciphering the role of microRNAs in development and disease. However, these computational methods are CPU-intensive. For example, the predictions for a single miRNA molecule on the whole human genome according to a popular target prediction method require about 30 minutes. Such performance is a hindrance to the biologists' requirement for near-real time target prediction. In this paper, we present TARCLOUD, a Cloud-based target prediction solution built on Microsoft's Azure platform. TARCLOUD is a highly-scalable solution based on distributed programming models that provides near-real time predictions to its users through an easy and intuitive interface. The work has been selected as one of the pilot use cases for the VENUS-C FP7 Research Infrastructures Program. © 2012 Springer-Verlag.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-31235-9_48	en
dc.identifier.volume	7338 LNCS	en
dc.identifier.spage	628	en
dc.identifier.epage	633	en