Computer simulation and data analysis in molecular biology and biophysics - Info and Reading Options
an introduction using R
By Victor A. Bloomfield
"Computer simulation and data analysis in molecular biology and biophysics" was published by Springer in 2009 - Dordrecht, it has 321 pages and the language of the book is English.
“Computer simulation and data analysis in molecular biology and biophysics” Metadata:
- Title: ➤ Computer simulation and data analysis in molecular biology and biophysics
- Author: Victor A. Bloomfield
- Language: English
- Number of Pages: 321
- Publisher: Springer
- Publish Date: 2009
- Publish Location: Dordrecht
“Computer simulation and data analysis in molecular biology and biophysics” Subjects and Themes:
- Subjects: ➤ Statistical methods - Open source software - Mathematical models - Computer Simulation - Computersimulation - Computer simulation - Methods - Molecular Biology - Molecular biology - R (Computer program language) - Programming Languages - Molekularbiologie - Biophysics - Statistics as Topic - Biophysik - Data processing - Statistical Models - Datenanalyse - Biology, data processing - Physics - Bioinformatics - Biochemistry - Cytology - Biology - Biomedical engineering - Computational Biology/Bioinformatics - Cell Biology - Computer Appl. in Life Sciences - Biomedical Engineering - Biochemistry, general - Biophysics/Biomedical Physics
Edition Specifications:
- Pagination: xvi, 321 p. :
Edition Identifiers:
- The Open Library ID: OL25255513M - OL16567799W
- Online Computer Library Center (OCLC) ID: 436261791 - 416291665
- Library of Congress Control Number (LCCN): 2009926315
- ISBN-13: 9781441900845 - 9781441900838
- All ISBNs: 9781441900845 - 9781441900838
AI-generated Review of “Computer simulation and data analysis in molecular biology and biophysics”:
"Computer simulation and data analysis in molecular biology and biophysics" Table Of Contents:
- 1- The basics of R. Calculating with R ; Plotting with R ; Functions and programming ; Data and packages
- 2- Simulation of biological processes. Equilibrium and steady state calculations ; Differential equations and reaction kinetics ; Population dynamics ; Diffusion and transport ; Regulation and control of metabolism ; Models of regulation
- 3- Analyzing DNA and protein sequences. Probability and population genetics ; DNA sequence analysis ; Statistical analysis in molecular and cellular biology. Statistical analysis of data ; Microarrays
- 4- Appendix: Basic string manipulations in R.
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