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Proteome Bioinformatics

Overview of attention for book
Cover of 'Proteome Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Proteome Bioinformatics
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    Chapter 2 Bioinformatics Methods for Protein Identification Using Peptide Mass Fingerprinting
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    Chapter 3 Computational Approaches to Peptide Identification via Tandem MS
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    Chapter 4 Scoring and Validation of Tandem MS Peptide Identification Methods
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    Chapter 5 Target-Decoy Search Strategy for Mass Spectrometry-Based Proteomics
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    Chapter 6 Understanding and Exploiting Peptide Fragment Ion Intensities Using Experimental and Informatic Approaches
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    Chapter 7 Spectral Library Searching for Peptide Identification via Tandem MS
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    Chapter 8 De Novo Sequencing Methods in Proteomics
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    Chapter 9 Cross species proteomics.
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    Chapter 10 Gene Model Detection Using Mass Spectrometry
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    Chapter 11 Signal Processing in Proteomics
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    Chapter 12 Proteome Bioinformatics
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    Chapter 13 Mining Proteomic MS/MS Data for MRM Transitions
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    Chapter 14 OpenMS and TOPP: Open Source Software for LC-MS Data Analysis
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    Chapter 15 Trans-Proteomic Pipeline: A Pipeline for Proteomic Analysis
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    Chapter 16 Informatics and statistics for analyzing 2-d gel electrophoresis images.
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    Chapter 17 Automated Generic Analysis Tools for Protein Quantitation Using Stable Isotope Labeling
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    Chapter 18 An Overview of Label-Free Quantitation Methods in Proteomics by Mass Spectrometry
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    Chapter 19 The PeptideAtlas Project
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    Chapter 20 Using the PRIDE Proteomics Identifications Database for Knowledge Discovery and Data Analysis
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    Chapter 21 Molecular Interactions and Data Standardisation
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    Chapter 22 Mass Spectrometer Output File Format mzML
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    Chapter 23 Managing Experimental Data Using FuGE
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    Chapter 24 Proteomics Data Collection (ProDaC): Publishing and Collecting Proteomics Data Sets in Public Repositories Using Standard Formats
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    Chapter 25 Computational Resources for the Prediction and Analysis of Native Disorder in Proteins
Overall attention for this book and its chapters
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Mentioned by

2 blogs
1 policy source
5 tweeters
1 Wikipedia page


19 Dimensions

Readers on

47 Mendeley
5 CiteULike
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Proteome Bioinformatics
Published by
Humana Press, January 2010
DOI 10.1007/978-1-60761-444-9
978-1-60761-443-2, 978-1-60761-444-9, 978-1-61779-680-7

Hubbard, Simon J, Jones, Andrew R


Simon J. Hubbard, Andrew R. Jones

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Master 8 17%
Researcher 6 13%
Student > Bachelor 5 11%
Student > Doctoral Student 3 6%
Other 4 9%
Unknown 11 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 36%
Agricultural and Biological Sciences 8 17%
Chemistry 4 9%
Engineering 2 4%
Computer Science 2 4%
Other 2 4%
Unknown 12 26%