Reference : Evaluation of Cell Line Suitability for Disease Specific Perturbation Experiments.

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Life sciences : Genetics & genetic processes Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/18385

Title :	Evaluation of Cell Line Suitability for Disease Specific Perturbation Experiments.
Language :	English
Translated title :	[en] Evaluation of Cell Line Suitability for Disease Specific Perturbation Experiments.
Author, co-author :	Biryukov, Maria [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Antony, Paul [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Krishna, Abhimanyu [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	May, Patrick [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Trefois, Christophe [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Publication date :	20-Feb-2015
Main document title :	Data Science, Learning by Latent Structures, and Knowledge Discovery
Translated title :	[en] Data Science, Learning by Latent Structures, and Knowledge Discovery
Editor :	Lausen, Berthold
	Krolak-Schwerdt, Sabine
	Böhmer, Matthias
Publisher :	Springer
Collection and collection volume :	Series: Studies in Classification, Data Analysis, and Knowledge Organization
Peer reviewed :	Yes
Audience :	International
ISBN :	978-3-662-44982-0
City :	Luxembourg
Country :	Luxembourg
Event name :	European Conference on Data Analysis 2013
Event date :	from 10 - 07 - 2013 to - 12 - 10 - 2013
Event organizer :	The German Classification Society (GfKl)
	The French speaking Classification Society (SFC)
Event place (city) :	Luxembourg
Event country :	Luxembourg
Keywords :	[en] CELL LINE SEQUENCING, CELL LINE SUITABILITY EVALUATION, NETWORK ANALYSIS, TRANSLATIONAL RESEARCH, TEXT MINING ; CELL LINE SUITABILITY EVALUATION ; TRANSLATIONAL RESEARCH ; TEXT MINING
Abstract :	[en] Cell lines are widely used in translational biomedical research to study the genetic basis of diseases. A major approach for experimental disease modeling are genetic perturbation experiments that aim to trigger selected cellular disease states. In this type of experiments it is crucial to ensure that the targeted disease- related genes and pathways are intact in the used cell line. In this work we are developing a framework which integrates genetic sequence information and disease- specific network analysis for evaluating disease-specific cell line suitability.
Research centres :	Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) ; Luxembourg Centre for Systems Biomedicine (LCSB): Experimental Neurobiology (Balling Group)
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/18385
DOI :	10.1007/978-3-662-44983-7_26

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