By Huma M. Lodhi;Stephen H. Muggleton
Groundbreaking, long-ranging examine during this emergent box that permits recommendations to complicated organic problemsComputational platforms biology is an rising self-discipline that's evolving quick because of contemporary advances in biology comparable to genome sequencing, high-throughput applied sciences, and the new improvement of subtle computational methodologies. parts of Computational platforms Biology is a accomplished reference protecting the computational frameworks and strategies had to aid study scientists and pros in computing device technology, biology, chemistry, pharmaceutical technology, and physics resolve advanced organic difficulties. Written via top specialists within the box, this sensible source provides particular descriptions of middle matters, together with organic community modeling, research, and inference; offers a measured advent to foundational themes like genomics; and describes state of the art software program instruments for platforms biology.Offers a coordinated built-in platforms view of defining and using computational and mathematical instruments and techniques to fixing difficulties in structures biologyChapters supply a multidisciplinary method and diversity from research, modeling, prediction, reasoning, inference, and exploration of organic structures to the results of computational platforms biology on drug layout and medicineHelps decrease the distance among arithmetic and biology through providing chapters on mathematical versions of organic systemsEstablishes recommendations in desktop technology, biology, chemistry, and physics by way of featuring an in-depth description of computational methodologies for platforms biologyElements of Computational platforms Biology is meant for academic/industry researchers and scientists in machine technological know-how, biology, arithmetic, chemistry, physics, biotechnology, and pharmaceutical technology. it's also available to undergraduate and graduate scholars in laptop studying, info mining, bioinformatics, computational biology, and structures biology classes.
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Additional resources for Elements of Computational Systems Biology (Wiley Series in Bioinformatics)
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CellProﬁler: image analysis software for identifying and quantifying cell phenotype. , 7(R:100), 2006. 74. M. P. Lamprecht, D. M. Sabatini, and A. E. Carpenter. CellProﬁler: free, versatile software for automated biological image analysis. Biotechniques, 42(1):71–75, 2007. 75. T. Ideker, T. Galitski, and L. Hood. A new approach to decoding life: systems biology. Annu. Rev. Genomics Hum. , 2:343–372, 2001. 76. A. Aderem. Systems biology: its practices and challenges. Cell, 121:511–513, 2005. II BIOLOGICAL NETWORK MODELING 2 MODELS IN SYSTEMS BIOLOGY: THE PARAMETER PROBLEM AND THE MEANINGS OF ROBUSTNESS Jeremy Gunawardena Department of Systems Biology, Harvard Medical School, Boston, MA, USA With four parameters I can ﬁt an elephant and with ﬁve I can make him wiggle his trunk.