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Related Concept Videos

Proteomics01:33

Proteomics

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 proteomics...

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Updated: Jun 21, 2026

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

Getting a grip on proteomics data - Proteomics Data Collection (ProDaC).

Martin Eisenacher1, Lennart Martens, Tanja Hardt

  • 1Medizinisches Proteom-Center, Ruhr-Universitaet Bochum, Germany.

Proteomics
|July 29, 2009
PubMed
Summary
This summary is machine-generated.

The Proteomics Data Collection (ProDaC) project developed standards and tools for sharing large proteomics datasets. This initiative aimed to improve data accessibility and community-wide data collection in the field.

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TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis
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TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis

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TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Data Science

Background:

  • Rapid advancements in proteomics instrumentation generate large datasets.
  • Need for standardized data sharing and collection in the proteomics community.

Purpose of the Study:

  • Establish documentation and storage standards for proteomics data.
  • Develop a standardized data submission pipeline.
  • Facilitate community-wide collection of proteomics data.

Main Methods:

  • Coordination Action project funded by the EU 6th Framework Programme.
  • Development of data standards and computer programs.
  • Implementation of a data submission pipeline.

Main Results:

  • ProDaC delivered a comprehensive toolbox of standards.
  • ProDaC provided computer programs for data management.
  • Established a foundation for improved proteomics data sharing.

Conclusions:

  • ProDaC successfully addressed the need for data standards in proteomics.
  • The project's deliverables support enhanced data collection and accessibility.
  • The developed toolbox aids the proteomics community in managing large datasets.