Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV

Roomp, Kirsten; Beerenwinkel, Niko; Sing, Tobias; Schülter, Eugen; Büch, Joachim; Sierra-Aragon, Saleta; Däumer, Martin; Hoffmann, Daniel; Kaiser, Rolf; Lengauer, Thomas; Selbig, Joachim

doi:10.1007/11799511_16

Reference : Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV


	Document type :	Parts of books : Contribution to collective works
	Discipline(s) :	Life sciences : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/26413

Title :	Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV
Language :	English
Author, co-author :	Roomp, Kirsten [Max Planck Institute for Informatics]
	Beerenwinkel, Niko []
	Sing, Tobias []
	Schülter, Eugen []
	Büch, Joachim []
	Sierra-Aragon, Saleta []
	Däumer, Martin []
	Hoffmann, Daniel []
	Kaiser, Rolf []
	Lengauer, Thomas []
	Selbig, Joachim []
Publication date :	2006
Main document title :	Data Integration in the Life Sciences
Editor :	Leser, U.
	Naumann, F.
	Eckman, B.
Publisher :	Springer-Verlag Berlin Heidelberg
Pages :	185-194
Peer reviewed :	Yes
Abstract :	[en] Despite the availability of antiretroviral combination therapies, success in drug treatment of HIV-infected patients is limited. One reason for therapy failure is the development of drug-resistant genetic variants. In principle, the viral genomic sequence provides resistance information and could thus guide the selection of an optimal drug combination. In practice however, the benefit of this procedure is impaired by (1) the difficulty in inferring the clinically relevant information from the genotype of the virus and (2) the restricted availability of this information. We have developed a secure platform for collaborative research aimed at optimizing anti-HIV therapies, called Arevir. A relational database schema was designed and implemented together with a webbased user interface. Our system provides a basis for monitoring patients, decision- support, and computational analyses. Thus, it merges clinical, diagnostic and bioinformatics efforts to exploit genomic and patient therapy data in clinical practice.
Permalink :	http://hdl.handle.net/10993/26413
DOI :	10.1007/11799511_16

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Limited access	Arevir a secure platform for designing personalized antiretroviral therapies against HIV.pdf		Publisher postprint	196.39 kB	Request a copy

All documents in ORBi^lu are protected by a user license.

University of Luxembourg Library | Feedback | Legal notices