Skip to main content
SpringerLink
Log in
Book cover

Computer Simulation and Data Analysis in Molecular Biology and Biophysics

An Introduction Using R

  • Book
  • © 2009

Overview

Authors:
  1. Victor Bloomfield
    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Covers many of the major quantitative topics in modern molecular and cell biology and biophysics
  • Presents both standard and cutting-edge topics such as regulation of metabolism and development
  • Treats both computer simulation and statistics
  • Takes a computational approach that most students find more appealing than analytical mathematics
  • Uses the powerful, open-source, cross-platform computer language R
  • Includes supplementary material: sn.pub/extras

Part of the book series: Biological and Medical Physics, Biomedical Engineering (BIOMEDICAL)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (14 chapters)

  1. Front Matter

    Pages 1-16
    Download chapter PDF

  2. The Basics of R

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Calculating with R

      • Victor Bloomfield
      Pages 3-22

    3. Plotting with R

      • Victor Bloomfield
      Pages 23-47

    4. Functions and Programming

      • Victor Bloomfield
      Pages 49-67

    5. Data and Packages

      • Victor Bloomfield
      Pages 69-82

  3. Simulation of Biological Processes

    1. Front Matter

      Pages 84-84
      Download chapter PDF

    2. Equilibrium and Steady State Calculations

      • Victor Bloomfield
      Pages 85-112

    3. Differential Equations and Reaction Kinetics

      • Victor Bloomfield
      Pages 113-139

    4. Population Dynamics

      • Victor Bloomfield
      Pages 141-157

    5. Diffusion and Transport

      • Victor Bloomfield
      Pages 159-173

    6. Regulation and Control of Metabolism

      • Victor Bloomfield
      Pages 175-189

    7. Models of Regulation

      • Victor Bloomfield
      Pages 191-203

  4. Analyzing DNA and Protein Sequences

    1. Front Matter

      Pages 206-206
      Download chapter PDF

    2. Probability and Population Genetics

      • Victor Bloomfield
      Pages 207-232

    3. DNA Sequence Analysis

      • Victor Bloomfield
      Pages 233-248

  5. Statistical Analysis in Molecular and Cellular Biology

    1. Front Matter

      Pages 250-250
      Download chapter PDF

    2. Statistical Analysis of Data

      • Victor Bloomfield
      Pages 251-277

    3. Microarrays

      • Victor Bloomfield
      Pages 279-308

  6. Back Matter

    Pages 1-12
    Download chapter PDF
Back to top

Keywords

About this book

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.

Reviews

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)

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation