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Related Concept Videos

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
10.0K

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TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis
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Proteomic Data Storage and Sharing.

Shivakumar Keerthikumar1, Suresh Mathivanan2

  • 1Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC, 3086, Australia. S.Keerthikumar@latrobe.edu.au.

Methods in Molecular Biology (Clifton, N.J.)
|December 16, 2016
PubMed
Summary
This summary is machine-generated.

High-throughput genomic and proteomic data generation is outpacing public repository cataloging. This chapter reviews freely accessible proteomics data repositories for crucial meta-analysis by researchers.

Keywords:
CancerDatabasesFalse discovery rateMass spectrometryPeptidesProteins

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Area of Science:

  • Genomics and Proteomics
  • Bioinformatics
  • Data Science

Background:

  • High-throughput technologies generate vast multidimensional genomic and proteomic data.
  • Public data repositories are not keeping pace with the rate of data generation.
  • This data gap hinders scientific progress and downstream analysis.

Purpose of the Study:

  • To identify and discuss freely accessible proteomics data repositories.
  • To facilitate researchers' access to data for meta-analysis.
  • To address the imbalance between data generation and data accessibility.

Main Methods:

  • Literature review of existing proteomics data repositories.
  • Analysis of repository accessibility and data sharing policies.
  • Categorization of repositories based on data type and accessibility.

Main Results:

  • Several proteomics data repositories are available to the research community.
  • These repositories offer valuable resources for meta-analysis.
  • Accessibility and usability vary across different platforms.

Conclusions:

  • Accessible proteomics data repositories are essential for scientific advancement.
  • Researchers are encouraged to utilize these resources for meta-analysis.
  • Improved data cataloging and sharing practices are needed to match data generation.