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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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Related Experiment Video

Updated: May 24, 2026

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
14:51

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Published on: November 13, 2021

Scientific workflow management in proteomics.

Jeroen S de Bruin1, André M Deelder, Magnus Palmblad

  • 1Section for Medical Expert and Knowledge-Based Systems, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Spitalgasse 23, A-1090 Vienna, Austria.

Molecular & Cellular Proteomics : MCP
|March 14, 2012
PubMed
Summary

This study simplifies complex proteomics data analysis by integrating software tools into Taverna Workbench. This workflow manager offers an intuitive interface for mass spectrometry data processing and protein identification.

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Last Updated: May 24, 2026

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Proteomics

Background:

  • Proteomics data analysis is complex, requiring expertise in diverse software.
  • Existing tools have varied algorithms, data formats, and user interfaces, hindering integration.

Purpose of the Study:

  • To integrate existing proteomics software tools into a unified platform.
  • To demonstrate the utility of a scientific workflow manager for complex data analysis.

Main Methods:

  • Utilized Taverna Workbench, a scientific workflow manager.
  • Integrated multiple existing software packages and tools for data processing.

Main Results:

  • Developed a workflow manager providing a single, intuitive interface for proteomics data analysis.
  • Enabled seamless transition from raw mass spectrometry data to protein identification.

Conclusions:

  • Scientific workflow managers like Taverna Workbench simplify complex proteomics data processing.
  • An integrated approach enhances accessibility and efficiency in bioinformatics pipelines.