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Computer Simulation and Data Analysis in Molecular Biology and Biophysics: An Introduction Using R (Biological and Medical Physics, Biomedical Engineering) - Tapa dura
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From the reviews: “This book targets biochemistry and molecular biophysics students who have prior knowledge of a few subjects, including mathematics, statistics, and modeling, and possess very basic programming skills. Examples and illustrations are ample throughout the text, and the writing style is plain and efficient. ... this book mostly appropriate for students or researchers who have prior exposure to the related subjects. Summing Up: Recommended. Upper-division undergraduates through researchers/faculty.” (D. Papamichail, Choice, Vol. 47 (5), January, 2010)
Reseña del editor
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 methods 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.
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- EditorialSpringer
- Año de publicación2009
- ISBN 10 1441900845
- ISBN 13 9781441900845
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas340
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COMPUTER SIMULATION AND DATA ANALYSIS IN MOLECULAR BIOLOGY AND BIOPHYSICS : AN INTRODUCTION USING R
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Computer Simulation and Data Analysis in Molecular Biology and Biophysics
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Computer Simulation and Data Analysis in Molecular Biology and Biophysics
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Computer Simulation and Data Analysis in Molecular Biology and Biophysics
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Computer Simulation and Data Analysis in Molecular Biology and Biophysics: An Introduction Using R (Biological and Medical Physics, Biomedical Engineering)
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Computer Simulation and Data Analysis in Molecular Biology and Biophysics
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Springer New York Jun 2009, 2009
ISBN 10: 1441900845
ISBN 13: 9781441900845
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 methods 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. 340 pp. Englisch. Nº de ref. del artículo: 9781441900845
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Computer Simulation and Data Analysis in Molecular Biology and Biophysics: An Introduction Using R (Biological and Medical Physics, Biomedical Engineering)
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Computer Simulation and Data Analysis in Molecular Biology and Biophysics
Impresión bajo demandaLibrería: moluna, Greven, Alemania
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers many of the major quantitative topics in modern molecular and cell biology and biophysicsPresents both standard and cutting-edge topics such as regulation of metabolism and developmentTreats both computer simulation and statistics. Nº de ref. del artículo: 4171932
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Computer Simulation and Data Analysis in Molecular Biology and Biophysics : An Introduction Using R
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Springer New York, Springer New York, 2009
ISBN 10: 1441900845
ISBN 13: 9781441900845
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: 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 methods 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. Nº de ref. del artículo: 9781441900845
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Computer Simulation and Data Analysis in Molecular Biology and Biophysics: An Introduction Using R
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Springer-Verlag New York Inc., 2009
ISBN 10: 1441900845
ISBN 13: 9781441900845
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Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 764. Nº de ref. del artículo: C9781441900845
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