Reference : Finding Small Molecules in Big Data - Analytica Munich

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/41943

Title :	Finding Small Molecules in Big Data - Analytica Munich
Language :	English
Author, co-author :	Schymanski, Emma [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
	Williams, Antony J. [> >]
Publication date :	2018
Peer reviewed :	No
On invitation :	Yes
Audience :	International
Event name :	Analytica Munich
Event date :	April 10-13, 2018
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/41943
DOI :	10.5281/zenodo.3374485
Other URL :	https://doi.org/10.5281/zenodo.3374485
FnR project :	FnR ; FNR12341006 > Emma Schymanski > ECHIDNA > Environmental Cheminformatics to Identify Unknown Chemicals and their Effects > 01/10/2018 > 30/09/2023 > 2018

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