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Modern Proteomics – Sample Preparation, Analysis and Practical Applications

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Cover of 'Modern Proteomics – Sample Preparation, Analysis and Practical Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Proteomes, Their Compositions and Their Sources
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    Chapter 2 Protein Fractionation and Enrichment Prior to Proteomics Sample Preparation
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    Chapter 3 Sample Preparation for Mass Spectrometry-Based Proteomics; from Proteomes to Peptides
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    Chapter 4 Plant Structure and Specificity – Challenges and Sample Preparation Considerations for Proteomics
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    Chapter 5 Improving Proteome Coverage by Reducing Sample Complexity via Chromatography
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    Chapter 6 Database Search Engines: Paradigms, Challenges and Solutions
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    Chapter 7 Mass Analyzers and Mass Spectrometers
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    Chapter 8 Top-Down Mass Spectrometry: Proteomics to Proteoforms
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    Chapter 9 Platforms and Pipelines for Proteomics Data Analysis and Management
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    Chapter 10 Tandem Mass Spectrum Sequencing: An Alternative to Database Search Engines in Shotgun Proteomics
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    Chapter 11 Visualization, Inspection and Interpretation of Shotgun Proteomics Identification Results
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    Chapter 12 Protein Inference
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    Chapter 13 Modification Site Localization in Peptides
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    Chapter 14 Useful Web Resources
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    Chapter 15 Mass Spectrometry-Based Protein Quantification
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    Chapter 16 Bioinformatics Tools for Proteomics Data Interpretation
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    Chapter 17 Identification, Quantification, and Site Localization of Protein Posttranslational Modifications via Mass Spectrometry-Based Proteomics
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    Chapter 18 Protein-Protein Interaction Detection Via Mass Spectrometry-Based Proteomics
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    Chapter 19 Protein Structural Analysis via Mass Spectrometry-Based Proteomics
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    Chapter 20 Introduction to Clinical Proteomics
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    Chapter 21 Discovery of Candidate Biomarkers
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    Chapter 22 Statistical Approaches to Candidate Biomarker Panel Selection
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    Chapter 23 Qualification and Verification of Protein Biomarker Candidates
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    Chapter 24 Protocol for Standardizing High-to-Moderate Abundance Protein Biomarker Assessments Through an MRM-with-Standard-Peptides Quantitative Approach
Attention for Chapter 14: Useful Web Resources
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Citations

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Chapter title
Useful Web Resources
Chapter number 14
Book title
Modern Proteomics – Sample Preparation, Analysis and Practical Applications
Published in
Advances in experimental medicine and biology, December 2016
DOI 10.1007/978-3-319-41448-5_14
Pubmed ID
Book ISBNs
978-3-31-941446-1, 978-3-31-941448-5
Authors

Andre Bui, Maria D. Person

Editors

Hamid Mirzaei, Martin Carrasco

Abstract

An increasing number of web resources are available for aiding in proteomics research. Databases contain repositories of proteins and associated information. A recent article by Chen et al. (Genomics Proteomics Bioinformatics 13(1):36-39, 2015) evaluates a number of MS-based proteomics repositories containing MS and expression data, including repositories devoted to cataloguing high confidence post-translational modifications. Many sites have tools developed by research labs that are shared with the community and online tutorials and videos for learning how to use the tools. This chapter contains a selection of web sites useful for proteomics analyses but is by no means comprehensive. Using a search engine such as Google is the easiest way to find the sites using the name given below.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Researcher 3 20%
Student > Master 3 20%
Other 2 13%
Professor 1 7%
Other 2 13%
Unknown 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 27%
Arts and Humanities 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Business, Management and Accounting 1 7%
Agricultural and Biological Sciences 1 7%
Other 5 33%
Unknown 2 13%