Systems Biology and Bioinformatics: A Computational Approach
The availability of molecular imaging and measurement systems enables today's biologists to swiftly monitor thousands of genes involved in a host of diseases, a critical factor in specialized drug development. Systems Biology and Bioinformatics: A Computational Approach provides students with a comprehensive collection of the computational methods
1127600447
Systems Biology and Bioinformatics: A Computational Approach
The availability of molecular imaging and measurement systems enables today's biologists to swiftly monitor thousands of genes involved in a host of diseases, a critical factor in specialized drug development. Systems Biology and Bioinformatics: A Computational Approach provides students with a comprehensive collection of the computational methods
110.0 In Stock
Systems Biology and Bioinformatics: A Computational Approach

Systems Biology and Bioinformatics: A Computational Approach

Systems Biology and Bioinformatics: A Computational Approach

Systems Biology and Bioinformatics: A Computational Approach

eBook

$110.00 

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Overview

The availability of molecular imaging and measurement systems enables today's biologists to swiftly monitor thousands of genes involved in a host of diseases, a critical factor in specialized drug development. Systems Biology and Bioinformatics: A Computational Approach provides students with a comprehensive collection of the computational methods

Product Details

ISBN-13: 9781040162903
Publisher: CRC Press
Publication date: 04/13/2009
Sold by: Barnes & Noble
Format: eBook
Pages: 190
File size: 2 MB

About the Author

Kayvan Najarian, Siamak Najarian, Shahriar Gharibzadeh, Christopher N. Eichelberger

Table of Contents

Cell Biology. Bioassays. Review of Some Computational Methods. Computational Structural Biology: Protein Structure Prediction. Computational Structural Biology: Protein Sequence Analysis. Genomics and Proteomics. Methods for Identification of Differentially Expressed Genes or Proteins. Binary and Bayesian Networks as Static Models of Regulatory Pathways. Metabolic Control Theory for Static Modeling of Metabolic Pathways. System Identification and Control Theory for Dynamic Modeling of Biological Pathways. Gene Silencing for Systems Biology. Simulation and Systems Biology. Software, Databases, and Other Resources for Systems Biology. Future Directions. Index.
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