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Computational Biology

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Cover of 'Computational Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Sequencing and Genome Assembly Using Next-Generation Technologies
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    Chapter 2 RNA Structure Prediction
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    Chapter 3 Normalization of Gene-Expression Microarray Data
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    Chapter 4 Prediction of transmembrane topology and signal peptide given a protein's amino acid sequence.
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    Chapter 5 Protein Structure Modeling
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    Chapter 6 Template-Based Protein Structure Modeling
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    Chapter 7 Automated Protein NMR Structure Determination in Solution
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    Chapter 8 Computational Tools in Protein Crystallography
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    Chapter 9 3-D Structures of Macromolecules Using Single-Particle Analysis in EMAN
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    Chapter 10 Computational Design of Chimeric Protein Libraries for Directed Evolution
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    Chapter 11 Mass Spectrometric Protein Identification Using the Global Proteome Machine
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    Chapter 12 Unbiased Detection of Posttranslational Modifications Using Mass Spectrometry
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    Chapter 13 Protein quantitation using mass spectrometry.
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    Chapter 14 Modeling Experimental Design for Proteomics
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    Chapter 15 A Functional Proteomic Study of the Trypanosoma brucei Nuclear Pore Complex: An Informatic Strategy
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    Chapter 16 Inference of Signal Transduction Networks from Double Causal Evidence
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    Chapter 17 Reverse engineering gene regulatory networks related to quorum sensing in the plant pathogen Pectobacterium atrosepticum.
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    Chapter 18 Parameter Inference and Model Selection in Signaling Pathway Models
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    Chapter 19 Genetic Algorithms and Their Application to In Silico Evolution of Genetic Regulatory Networks
Attention for Chapter 18: Parameter Inference and Model Selection in Signaling Pathway Models
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Citations

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Chapter title
Parameter Inference and Model Selection in Signaling Pathway Models
Chapter number 18
Book title
Computational Biology
Published in
Methods in molecular biology, January 2010
DOI 10.1007/978-1-60761-842-3_18
Pubmed ID
Book ISBNs
978-1-60761-841-6, 978-1-60761-842-3
Authors

Tina Toni, Michael P. H. Stumpf, Toni, Tina, Stumpf, Michael P. H.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 2 4%
France 1 2%
Taiwan 1 2%
Canada 1 2%
Unknown 43 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 26%
Student > Ph. D. Student 9 18%
Student > Postgraduate 7 14%
Professor > Associate Professor 6 12%
Student > Master 5 10%
Other 9 18%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 28%
Computer Science 10 20%
Mathematics 5 10%
Medicine and Dentistry 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Other 8 16%
Unknown 6 12%