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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: Jul 3, 2026

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
07:38

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames

Published on: April 11, 2019

ProteoWizard: open source software for rapid proteomics tools development.

Darren Kessner1, Matt Chambers, Robert Burke

  • 1Spielberg Family Center for Applied Proteomics, Cedars-Sinai Medical Center, USA. darren@proteowizard.org

Bioinformatics (Oxford, England)
|July 9, 2008
PubMed
Summary
This summary is machine-generated.

ProteoWizard offers open-source, cross-platform proteomics software tools and libraries for data analysis. This modular framework simplifies the creation of new tools and supports the mzML data format for academic and commercial use.

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Area of Science:

  • Proteomics
  • Computational Biology
  • Software Engineering

Background:

  • Proteomics research requires robust data analysis tools.
  • Existing software solutions may lack cross-platform compatibility or extensibility.
  • The ProteoWizard project addresses these limitations by providing a unified framework.

Purpose of the Study:

  • To introduce the ProteoWizard software project.
  • To highlight its modular and extensible design for proteomics data analysis.
  • To encourage its adoption and development in the scientific community.

Main Methods:

  • Development of open-source, cross-platform tools and libraries.
  • Implementation of a pluggable framework for rapid tool creation.
  • Support for the mzML data format using modern C++.
  • Release under the Apache v2 license for broad usability.

Main Results:

  • ProteoWizard provides a comprehensive suite of tools for proteomics data analysis.
  • The associated libraries simplify data file access and computations.
  • Companion tools demonstrate the ease of application development on the ProteoWizard framework.
  • The software is available for free download with documentation and code examples.

Conclusions:

  • ProteoWizard is a modular, extensible, and open-source software solution for proteomics.
  • It offers a robust framework for developing and analyzing proteomics data.
  • The project encourages community contribution and aims to become a standard platform for proteomics development.