000 02308nam a22003258i 4500
001 CR9781139854610
003 UkCbUP
005 20200124160214.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 121025s2015||||enk o ||1 0|eng|d
020 _a9781139854610 (ebook)
020 _z9781107038851 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQH508
_b.P35 2015
082 0 0 _a571.7
_223
100 1 _aPalsson, Bernhard,
_eauthor.
245 1 0 _aSystems biology :
_bconstraint-based reconstruction and analysis /
_cBernhard O. Palsson, Department of Bioengineering, University of California at San Diego, USA.
264 1 _aCambridge :
_bCambridge University Press,
_c2015.
300 _a1 online resource (xviii, 531 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aRecent technological advances have enabled comprehensive determination of the molecular composition of living cells. The chemical interactions between many of these molecules are known, giving rise to genome-scale reconstructed biochemical reaction networks underlying cellular functions. Mathematical descriptions of the totality of these chemical interactions lead to genome-scale models that allow the computation of physiological functions. Reflecting these recent developments, this textbook explains how such quantitative and computable genotype-phenotype relationships are built using a genome-wide basis of information about the gene portfolio of a target organism. It describes how biological knowledge is assembled to reconstruct biochemical reaction networks, the formulation of computational models of biological functions, and how these models can be used to address key biological questions and enable predictive biology. Developed through extensive classroom use, the book is designed to provide students with a solid conceptual framework and an invaluable set of modeling tools and computational approaches.
650 0 _aSystems biology.
650 0 _aBiological models.
776 0 8 _iPrint version:
_z9781107038851
856 4 0 _uhttps://doi.org/10.1017/CBO9781139854610
999 _c516143
_d516141