Identification of condition-specific microbial populations from human metagenomic data

Reference : Identification of condition-specific microbial populations from human metagenomic data


	Document type :	Scientific congresses, symposiums and conference proceedings : Poster
	Discipline(s) :	Life sciences : Microbiology
	To cite this reference:	http://hdl.handle.net/10993/38838

Title :	Identification of condition-specific microbial populations from human metagenomic data
Language :	English
Author, co-author :	Laczny, Cedric Christian [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	May, Patrick [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Vlassis, Nikos [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Wilmes, Paul [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Publication date :	Mar-2014
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	VizBi - Visualizing biological data 2014
Event date :	from 05-03-2014 to 07-03-2014
Event organizer :	EMBO
Event place (city) :	Heidelberg
Event country :	Germany
Research centres :	Luxembourg Centre for Systems Biomedicine (LCSB): Eco-Systems Biology (Wilmes Group)
Funders :	Fonds National de la Recherche - FnR
Target :	Researchers ; Students
Permalink :	http://hdl.handle.net/10993/38838
FnR project :	FnR ; FNR4964712 > Cedric Laczny > > Discovery of human microbiome-derived small RNAs using machine-learning approaches > 01/10/2012 > 14/11/2015 > 2012

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	File	Commentary	Version	Size	Access
Open access	VizBi_2014_final.pdf		Publisher postprint	7.95 MB	View/Open

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