Reference : Functional Genomics, Proteomics, Metabolomics and Bioinformatics for Systems Biology

	Document type :	Parts of books : Contribution to collective works
	Discipline(s) :	Life sciences : Biochemistry, biophysics & molecular biology Engineering, computing & technology : Computer science Human health sciences : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/1247

Title :	Functional Genomics, Proteomics, Metabolomics and Bioinformatics for Systems Biology
Language :	English
Author, co-author :	Ballereau, S. [> >]
	Glaab, Enrico [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Kolodkin, Alexey [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Chaiboonchoe, A. [> >]
	Biryukov, Maria [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Vlassis, Nikos [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Ahmed, H. [> >]
	Pellet, J. [> >]
	Baliga, N. [> >]
	Hood, Leroy [> >]
	Schneider, Reinhard [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Balling, Rudi [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Auffray, C. [> >]
Publication date :	2013
Main document title :	Systems Biology: Integrative Biology and Simulation Tools
Editor :	Prokop, Ales
	Csukás, Bela
Publisher :	Springer
Peer reviewed :	Yes
Keywords :	[en] Emergence ; Holistic ; Bottom-up ; Top-down ; Middle-out ; Interactions ; Data integration ; Mathematical model ; Functional genomics
Abstract :	[en] This chapter introduces systems biology, its context, aims, concepts and strategies. It then describes approaches and methods used for collection of high-dimensional structural and functional genomics data, including epigenomics, transcriptomics, proteomics, metabolomics and lipidomics, and how recent technological advances in these fields have moved the bottleneck from data production to data analysis and bioinformatics. Finally, the most advanced mathematical and computational methods used for clustering, feature selection, prediction analysis, text mining and pathway analysis in functional genomics and systems biology are reviewed and discussed in the context of use cases.
Research centres :	Luxembourg Centre for Systems Biomedicine (LCSB): Experimental Neurobiology (Balling Group)
Permalink :	http://hdl.handle.net/10993/1247
DOI :	10.1007/978-94-007-6803-1_1
Commentary :	in press

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	Fulltext file(s): File Commentary Version Size Access Open access Functional Genomics, Proteomics, Metabolomics and Bioinformatics for Systems Biology.pdf Publisher postprint 1.53 MB View/Open

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