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Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Useful Web Resources.

Andre Bui¹, Maria D Person²

¹Proteomics Facility, Institute for Cellular and Molecular Biology and College of Pharmacy, The University of Texas at Austin, Austin, TX, USA.

Advances in Experimental Medicine and Biology

|December 16, 2016

Summary

Numerous web resources aid proteomics research, offering protein databases and analysis tools. This selection highlights key sites for proteomics data and post-translational modification cataloging.

Keywords:

Databases Informatics Mass spectrometry Protein identification Proteomics Web resources

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Area of Science:

Proteomics
Bioinformatics
Computational Biology

Background:

A growing number of web-based resources are available to support proteomics research.
These resources include databases for proteins and associated information.
Many sites offer tools developed by research labs, shared with the scientific community.

Purpose of the Study:

To provide a curated selection of useful websites for proteomics analyses.
To guide researchers in navigating the landscape of available online tools and databases.
To highlight resources for mass spectrometry (MS)-based proteomics data and post-translational modifications.

Main Methods:

Review and selection of existing web resources for proteomics.
Evaluation of repositories containing MS and expression data.
Identification of sites with community-shared tools and online learning materials.

Main Results:

A curated list of web resources beneficial for proteomics research is presented.
The selection includes databases for protein information, MS data, and post-translational modifications.
Resources with integrated analysis tools and tutorials are featured.

Conclusions:

Several valuable web resources exist to aid proteomics research and data analysis.
Researchers can leverage these sites for accessing data, utilizing tools, and enhancing their skills.
Utilizing search engines facilitates the discovery of relevant proteomics web resources.