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Computational biology

Author: David Fenyo
Publisher: New York : Humana Press, ©2010.
Series: Methods in molecular biology (Clifton, N.J.), v. 673.; Springer protocols (Series)
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Computational biology is an interdisciplinary field that applies mathematical, statistical, and computer science methods to answer biological questions, and its importance has only increased with the introduction of high-throughput techniques such as automatic DNA sequencing, comprehensive expression analysis with microarrays, and proteome analysis with modern mass spectrometry. In Computational Biology, expert  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Computational Biology.
Humana Pr Inc 2010
(DLC) 2010934634
(OCoLC)646113669
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: David Fenyo
ISBN: 9781607618423 1607618427
OCLC Number: 670212484
Language Note: English.
Description: 1 online resource (xi, 327 pages) : illustrations (some color).
Contents: Sequencing and genome assembly using next-generation technologies --
RNA structure prediction --
Normalization of gene-expression microarray data --
Prediction of transmembrane topology and signal peptide given a protein's amino acid sequence --
Protein structure modeling --
Template-based protein structure modeling --
Automated protein NMR structure determination in solution --
Computational tools in protein crystallography --
3-D structures of macromolecules using single-particle analysis in eman --
Computational design of chimeric protein libraries for directed evolution --
Mass spectrometric protein identification using the global proteome machine --
Unbiased detection of posttranslational modifications using mass spectrometry --
Protein quantitation using mass spectrometry --
Modeling experimental design for proteomics --
A functional proteomic study of the Trypanosoma brucei nuclear pore complex: An informatic strategy --
Inference of signal transduction networks from double causal evidence --
Reverse engineering gene regulatory networks related to quorum sensing in the plant pathogen pectobacterium atrosepticum --
Parameter inference and model selection in signaling pathway models --
Genetic algorithms and their application to in silico evolution of genetic regulatory networks.
Series Title: Methods in molecular biology (Clifton, N.J.), v. 673.; Springer protocols (Series)
Responsibility: edited by David Fenyö.

Abstract:

This book presents computational biology methods by focusing on their applications, including primary sequence analysis, protein structure elucidation, transcriptomics and proteomics data analysis,  Read more...

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