Computer Simulation and Data Analysis in Molecular Biology and Biophysics

Computer Simulation and Data Analysis in Molecular Biology and Biophysics
Author :
Publisher : Springer Science & Business Media
Total Pages : 325
Release :
ISBN-10 : 9781441900838
ISBN-13 : 1441900837
Rating : 4/5 (837 Downloads)

Book Synopsis Computer Simulation and Data Analysis in Molecular Biology and Biophysics by : Victor Bloomfield

Download or read book Computer Simulation and Data Analysis in Molecular Biology and Biophysics written by Victor Bloomfield and published by Springer Science & Business Media. This book was released on 2009-06-05 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Computer Simulation and Data Analysis in Molecular Biology and Biophysics Related Books

Computer Simulation and Data Analysis in Molecular Biology and Biophysics
Language: en
Pages: 325
Authors: Victor Bloomfield
Categories: Science
Type: BOOK - Published: 2009-06-05 - Publisher: Springer Science & Business Media

GET EBOOK

This book provides an introduction to two important aspects of modern bioch- istry, molecular biology, and biophysics: computer simulation and data analysis. My
Biomolecular and Bioanalytical Techniques
Language: en
Pages: 576
Authors: Vasudevan Ramesh
Categories: Science
Type: BOOK - Published: 2019-06-10 - Publisher: John Wiley & Sons

GET EBOOK

An essential guide to biomolecular and bioanalytical techniques and their applications Biomolecular and Bioanalytical Techniques offers an introduction to, and
Computational Molecular Biology
Language: en
Pages: 663
Authors: J. Leszczynski
Categories: Science
Type: BOOK - Published: 1999-06-10 - Publisher: Elsevier

GET EBOOK

This book covers applications of computational techniques to biological problems. These techniques are based by an ever-growing number of researchers with diffe
Computer Modelling in Molecular Biology
Language: en
Pages: 259
Authors: Julia M. Goodfellow
Categories: Science
Type: BOOK - Published: 2008-07-11 - Publisher: John Wiley & Sons

GET EBOOK

This book supplies an application-oriented introduction to molecular simulation techniques used to study a wide range of problems in molecular biology. Each cha
Statistical Modeling and Machine Learning for Molecular Biology
Language: en
Pages: 281
Authors: Alan Moses
Categories: Computers
Type: BOOK - Published: 2017-01-06 - Publisher: CRC Press

GET EBOOK

• Assumes no background in statistics or computers • Covers most major types of molecular biological data • Covers the statistical and machine learning co