Reference : Functional Genomics, Proteomics, Metabolomics and Bioinformatics for Systems Biology |
Parts of books : Contribution to collective works | |||
Life sciences : Biochemistry, biophysics & molecular biology Engineering, computing & technology : Computer science Human health sciences : Multidisciplinary, general & others | |||
http://hdl.handle.net/10993/1247 | |||
Functional Genomics, Proteomics, Metabolomics and Bioinformatics for Systems Biology | |
English | |
Ballereau, S. [> >] | |
Glaab, Enrico ![]() | |
Kolodkin, Alexey ![]() | |
Chaiboonchoe, A. [> >] | |
Biryukov, Maria ![]() | |
Vlassis, Nikos [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >] | |
Ahmed, H. [> >] | |
Pellet, J. [> >] | |
Baliga, N. [> >] | |
Hood, Leroy [> >] | |
Schneider, Reinhard ![]() | |
Balling, Rudi ![]() | |
Auffray, C. [> >] | |
2013 | |
Systems Biology: Integrative Biology and Simulation Tools | |
Prokop, Ales | |
Csukás, Bela | |
Springer | |
Yes | |
[en] Emergence ; Holistic ; Bottom-up ; Top-down ; Middle-out ; Interactions ; Data integration ; Mathematical model ; Functional genomics | |
[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. | |
Luxembourg Centre for Systems Biomedicine (LCSB): Experimental Neurobiology (Balling Group) | |
http://hdl.handle.net/10993/1247 | |
10.1007/978-94-007-6803-1_1 | |
in press |
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