9781441900845 - computer simulation and data analysis in molecular biology and biophysics: an introduction using r (biological and medical physics, biomedical engineering) von bloomfield, victor (3 Ergebnisse)

Sprache: Englisch
Verlag: Springer 2009
Serie: Biological and Medical Physics, Biomedical Engineering, Buch 18 von 101. Buch 18 von 101 - Biological and Medical Physics, Biomedical Engineering
- Hardcover
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Sprache: Englisch
Verlag: Springer Verlag 2009
Serie: Biological and Medical Physics, Biomedical Engineering, Buch 18 von 101. Buch 18 von 101 - Biological and Medical Physics, Biomedical Engineering
- Hardcover
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Hardcover. Zustand: Brand New. 1st edition. 321 pages. 9.25x6.50x0.75 inches. In Stock.

Sprache: Englisch
Verlag: Springer New York, Copernicus 2009
Serie: Biological and Medical Physics, Biomedical Engineering, Buch 18 von 101. Buch 18 von 101 - Biological and Medical Physics, Biomedical Engineering
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an introduction to two important aspects of modern bioch- istry, molecular biology, and biophysics: computer simulation and data analysis. My aim is to introduce the tools that will enable students to learn and use some f- damental method…s to construct quantitative models of biological mechanisms, both deterministicandwithsomeelementsofrandomness;tolearnhowconceptsofpr- ability can help to understand important features of DNA sequences; and to apply a useful set of statistical methods to analysis of experimental data. The availability of very capable but inexpensive personal computers and software makes it possible to do such work at a much higher level, but in a much easier way, than ever before. TheExecutiveSummaryofthein uential2003reportfromtheNationalAcademy of Sciences, 'BIO 2010: Transforming Undergraduate Education for Future - search Biologists' [12], begins The interplay of the recombinant DNA, instrumentation, and digital revolutions has p- foundly transformed biological research. The con uence of these three innovations has led to important discoveries, such as the mapping of the human genome. How biologists design, perform, and analyze experiments is changing swiftly. Biological concepts and models are becoming more quantitative, and biological research has become critically dependent on concepts and methods drawn from other scienti c disciplines. The connections between the biological sciences and the physical sciences, mathematics, and computer science are rapidly becoming deeper and more extensive.