000 02799cam a2200409Ii 4500
001 9780203702260
008 180706t20172018flu b ob 001 0 eng d
020 _a9780203702260
_q(e-book : PDF)
020 _a9781351332927
_q(e-book: Mobi)
020 _z9780815345688
_q(paperback)
024 7 _a10.4324/9780203702260
_2doi
035 _a(OCoLC)985604056
040 _aFlBoTFG
_cFlBoTFG
_erda
050 4 _aQH324.2
_b.V65 2018
072 7 _aCOM
_x082000
_2bisacsh
072 7 _aMED
_x009000
_2bisacsh
072 7 _aSCI
_x008000
_2bisacsh
072 7 _aSCI
_x010000
_2bisacsh
072 7 _aSCI
_x017000
_2bisacsh
072 7 _aSCI
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_2bisacsh
082 0 4 _a570.1/13
_223
100 1 _aVoit, Eberhard O.
_eauthor.
245 1 2 _aA first course in systems biology /
_cby Eberhard Voit.
250 _aSecond edition.
264 1 _aBoca Raton, FL :
_bCRC Press, an imprint of Garland Science,
_c[2017].
264 4 _c©2018
300 _a1 online resource
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
505 0 0 _tchapter 1 Biological Systems -- chapter 2 Introduction to Mathematical Modeling -- chapter 3 Static Network Models -- chapter 4 The Mathematics of Biological Systems -- chapter 5 Parameter Estimation -- chapter 6 Gene Systems -- chapter 7 Protein Systems -- chapter 8 Metabolic Systems -- chapter 9 Signaling Systems -- chapter 10 Population Systems -- chapter 11 Integrative Analysis of Genome, Protein, and Metabolite Data: A Case Study in Yeast -- chapter 12 Physiological Modeling: The Heart as an Example -- chapter 13 Systems Biology in Medicine and Drug Development -- chapter 14 Design of Biological Systems -- chapter 15 Emerging Topics in Systems Biology.
520 3 _aA First Course in Systems Biology is an introduction for advanced undergraduate and graduate students to the growing field of systems biology. Its main focus is the development of computational models and their applications to diverse biological systems. The book begins with the fundamentals of modeling, then reviews features of the molecular inventories that bring biological systems to life and discusses case studies that represent some of the frontiers in systems biology and synthetic biology. In this way, it provides the reader with a comprehensive background and access to methods for executing standard systems biology tasks, understanding the modern literature, and launching into specialized courses or projects that address biological questions using theoretical and computational means.
650 0 _aComputational biology.
650 0 _aSystems biology.
710 2 _aCRC Press.
776 0 8 _iPrint version:
_z9780815345688
_w(DLC) 2017017580
856 4 0 _uhttps://www.taylorfrancis.com/books/9780203702260
_zClick here to view.
999 _c126157
_d126157