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001 978-94-007-4330-4
003 DE-He213
005 20140220083346.0
007 cr nn 008mamaa
008 120625s2012 ne | s |||| 0|eng d
020 _a9789400743304
_9978-94-007-4330-4
024 7 _a10.1007/978-94-007-4330-4
_2doi
050 4 _aR-RZ
072 7 _aMBGR
_2bicssc
072 7 _aMED000000
_2bisacsh
082 0 4 _a610
_223
100 1 _aMa'ayan, Avi.
_eeditor.
245 1 0 _aNew Frontiers of Network Analysis in Systems Biology
_h[electronic resource] /
_cedited by Avi Ma'ayan, Ben D. MacArthur.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2012.
300 _aX, 199 p. 31 illus., 6 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPreface -- 1. Gene expression profiling of single cells, Fumio Arai et al -- 2. Cell Fate Regulatory Networks, Sonya J. Ridden and Ben D. MacArthur -- 3. Noise in Regulatory Networks, Srinandan Dasmahapatra -- 4. Generalised Modelling in Systems Biology, Thilo Gross -- 5. Relative quantification mass spectrometry using iTRAQ isobaric tags, Richard D. Unwin et al -- 6. Deciphering Protein Complexes and Protein Interaction Networks for Stem Cell Pluripotency, Jianlong Wang -- 7. Omics era in stem cell research: data integration of multi-regulatory layers, Ana Sevilla et al -- 8. High Throughput Affinity Purification and Mass Spectrometry to Determine Protein Complex Interactions, Anna Malovannaya et al -- 9. Network Pharmacology to Aid the Drug Discovery Process, Ruth Dannenfelser et al -- 10. What can networks do for you?, Bernhard M. Schuldt et al -- Index.
520 _aThe rapidly developing field of systems biology is influencing many aspects of biological research and is expected to transform biomedicine. Some emerging offshoots and specialized branches in systems biology are receiving particular attention and are becoming highly active areas of research. This collection of invited reviews describes some of the latest cutting-edge experimental and computational advances in these emerging sub-fields of systems biology. In particular, this collection focuses on the study of mammalian embryonic stem cells; new technologies involving mass-spectrometry proteomics; single cell measurements; methods for modeling complex stochastic systems; network-based classification algorithms; and the revolutionary emerging field of systems pharmacology.
650 0 _aMedicine.
650 0 _aGene expression.
650 0 _aBiotechnology.
650 0 _aProteomics.
650 0 _aBiological models.
650 0 _aCytology.
650 1 4 _aBiomedicine.
650 2 4 _aBiomedicine general.
650 2 4 _aCell Biology.
650 2 4 _aSystems Biology.
650 2 4 _aProteomics.
650 2 4 _aGene Expression.
650 2 4 _aBiotechnology.
700 1 _aMacArthur, Ben D.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789400743298
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-007-4330-4
912 _aZDB-2-SBL
999 _c104756
_d104756