Computer Methods Part B

Computer Methods Part B

1st Edition - November 5, 2009

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  • Editors: Michael Johnson, Ludwig Brand
  • Hardcover ISBN: 9780123750235
  • eBook ISBN: 9780080962801

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The combination of faster, more advanced computers and more quantitatively oriented biomedical researchers has recently yielded new and more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical data, and they have changed the way that experiments are designed and performed. This volume, along with previous and forthcoming Computer Methods volumes for the Methods in Enzymology serial, aims to inform biomedical researchers about recent applications of modern data analysis and simulation methods as applied to biomedical research.

Key Features

  • Presents step-by-step computer methods and discusses the techniques in detail to enable their implementation in solving a wide range of problems
  • Informs biomedical researchers of the modern data analysis methods that have developed alongside computer hardware
  • Presents methods at the "nuts and bolts" level to identify and resolve a problem and analyze what the results mean


Biochemists, molecular biologists, cell biologists, biomedical researchers, microbiologists, and developmental biologists

Table of Contents

  • 1. Correlation Analysis: A New Tool for Comparing Relaxation-Type Models to Experimental Data
    Maurizio Tomaiuolo, Joel Tabak, Richard Bertram
    2. Mathematical modeling of cancer
    Vito Quaranta
    3. Pattern recognition in biological systems
    Michael Ochs
    4. Modeling and simulations of the immune system as a self regulating network
    Peter P. Lee, Peter S. Kim and Doron Levy
    5. Entropy Demystified: The Thermodynamics of Stochastically Fluctuating Systems
    Hong Qian
    6. Effect of Kinetics on Sedimentation Velocity Profiles and the Role of Intermediates 9P.
    Holland Alday, Walter F Stafford and John J Correia
    7. High Throughput Computing in the Sciences
    Mark Morgan and Andrew Grimshaw
    8. Traffic theory applications in biology
    Steven Pincus
    9. Large scale transcriptome data integration across multiple tissues to decipher stem cell signatures
    Ghislain Bidaut
    10. DynaFit
    Peter Kuzmic
    11. Discrete dynamic modeling of signaling networks
    Reka Albert and Ruisheng Wang
    12. Fitting kinetic data by computer simulation methods
    Kenneth A. Johnson
    13. Molecular modeling
    David Sept
    14. Data integration and analysis of transcriptional networks
    Ilya Shmulevich and John D. Aitchison
    15. A Bayesian probability approach to ADHD appraisal
    Raina Robeva
    16. Enzyme kinetics parameter estimation using numerical simulation and optimization
    Pedro Mendes
    17. Modelling partial hormonal feedback networks
    Leon Farhy, William S. Evans and Michael L Johnson

Product details

  • No. of pages: 712
  • Language: English
  • Copyright: © Academic Press 2009
  • Published: November 5, 2009
  • Imprint: Academic Press
  • Hardcover ISBN: 9780123750235
  • eBook ISBN: 9780080962801

About the Serial Volume Editors

Michael Johnson

Affiliations and Expertise

University of Virginia Health Sciences Center, Charlottesville, USA

Ludwig Brand

Affiliations and Expertise

McCollum-Pratt Institute, Johns Hopkins University, Baltimore, MD, USA

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