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 the 2 previous 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. Predicting Fluorescence Lifetimes and Spectra of Biopolymers
  2. Patrik R. Callis

  3. Modeling of Regulatory Networks: Theory and Applications in the study of the Drosophila Circadian Clock
  4. Elizabeth Y. Scribner, Hassan M. Fathallah-Shaykh

  5. Strategies for articulated multibody-based adaptive coarse grain simulation of RNA
  6. Mohammad Poursina, Kishor D. Bhalerao, Samuel C. Flores , Kurt S. Anderson, Alain Laederach

  7. Modeling Loop Entropy
  8. Gregory S. Chirikjian

  9. Inferring Functional Relationships and Causal Network Structure from Gene Expression Profiles
  10. Radhakrishnan Nagarajan

  11. Numerical solution of the chemical master equation: uniqueness and stability of the stationary distribution for chemical networks, and mRNA bursting in a gene network with negative feedback regulation
  12. E. S. Zeron, M. Santill_an

  13. How molecular should your molecular model be? On the level of molecular detail required to simulate biological networks in systems and synthetic biology
  14. Didier Gonze, Wassim Abou-Jaoud´e, Adama Ouattara, and Jos´e Halloy

  15. Computational modelling of biological pathways by executable biology
  16. Maria Luisa Guerriero John K. Heath

  17. Computing Molecular Fluctuations in Biochemical Reaction Systems Based on A Mechanistic, Statisitical Theory of Irreversible Processes
  18. Don Kulasiri

  19. Probing the input-output behaviour of biochemical and genetic systems: system identification methods from control theory
  20. David McMillen, Brian Ingalls, Jordan Ang

  21. Biochemical pathway modelling tools for drug target detection in cancer and other complex diseases
  22. Alberto Marin-Sanguino, Shailendra K


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© 2011
Academic Press
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