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2-D PAGE Map Analysis

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Cover of '2-D PAGE Map Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Sources of Experimental Variation in 2-D Maps: The Importance of Experimental Design in Gel-Based Proteomics
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    Chapter 2 Decoding 2-D Maps by Autocovariance Function
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    Chapter 3 Two-Dimensional Gel Electrophoresis Image Analysis via Dedicated Software Packages
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    Chapter 4 Comparative Evaluation of Software Features and Performances
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    Chapter 5 Image Pretreatment Tools I: Algorithms for Map Denoising and Background Subtraction Methods
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    Chapter 6 Image Pretreatment Tools II: Normalization Techniques for 2-DE and 2-D DIGE
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    Chapter 7 Spot Matching of 2-DE Images Using Distance, Intensity, and Pattern Information
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    Chapter 8 Algorithms for Warping of 2-D PAGE Maps
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    Chapter 9 2-DE Gel Analysis: The Spot Detection
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    Chapter 10 2-D PAGE Map Analysis
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    Chapter 11 Detection and Quantification of Protein Spots by Pinnacle
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    Chapter 12 A Novel Gaussian Extrapolation Approach for 2-D Gel Electrophoresis Saturated Protein Spots
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    Chapter 13 Multiple Testing and Pattern Recognition in 2-DE Proteomics
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    Chapter 14 Chemometric Multivariate Tools for Candidate Biomarker Identification: LDA, PLS-DA, SIMCA, Ranking-PCA
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    Chapter 15 The Use of Legendre and Zernike Moment Functions for the Comparison of 2-D PAGE Maps
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    Chapter 16 Nonlinear Dimensionality Reduction by Minimum Curvilinearity for Unsupervised Discovery of Patterns in Multidimensional Proteomic Data
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    Chapter 17 Differential Analysis of 2-D Maps by Pixel-Based Approaches
Attention for Chapter 11: Detection and Quantification of Protein Spots by Pinnacle
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Chapter title
Detection and Quantification of Protein Spots by Pinnacle
Chapter number 11
Book title
2-D PAGE Map Analysis
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3255-9_11
Pubmed ID
Book ISBNs
978-1-4939-3254-2, 978-1-4939-3255-9
Authors

Morris, Jeffrey S., Gutstein, Howard B., Jeffrey S. Morris, Howard B. Gutstein

Abstract

Accurate spot detection and quantification is a challenging task that must be performed effectively in order to properly extract the proteomic information from two-dimensional (2-D) gel electrophoresis images. In Morris et al., Bioinformatics 24:529-536, 2008, we introduced Pinnacle, an automatic, fast, effective noncommercial package for spot detection and quantification for 2-D gel images, and subsequently we have developed a freely available gui-based interface for applying the method to a set of gels. In this chapter, we overview Pinnacle, and in a step-by-step manner we describe how to use the software to obtain spot lists and quantifications, to be used for comparative proteomic analysis.

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Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 67%
Professor > Associate Professor 1 17%
Professor 1 17%
Readers by discipline Count As %
Engineering 2 33%
Mathematics 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Agricultural and Biological Sciences 1 17%
Computer Science 1 17%
Other 0 0%