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Related Concept Videos

Proteomics01:33

Proteomics

7.5K
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...
7.5K

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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

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Proteomics made more accessible.

Svein-Ole Mikalsen1

  • 1Faculty of Natural and Health Sciences, Department of Science and Technology, University of the Faroe Islands, Faroe Islands.

Proteomics
|March 21, 2014
PubMed
Summary
This summary is machine-generated.

The Compomics framework offers an integrated bioinformatics solution for mass spectrometry-based proteomics. This free tool simplifies data analysis and submission, promoting wider use and data reanalysis.

Keywords:
MSOpen-source freewareProtein identificationPublication guidelines

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Computational Biology

Background:

  • Mass spectrometry (MS)-based proteomics is computationally demanding.
  • Expensive software and hardware limit proteomics analysis expansion.
  • A unified, user-friendly bioinformatics framework for proteomics workflow is lacking.

Purpose of the Study:

  • To introduce the Compomics framework, an integrated bioinformatics solution for MS-based proteomics.
  • To simplify the entire proteomics workflow from data analysis to submission.
  • To facilitate broader adoption and secondary use of proteomics data.

Main Methods:

  • Development of the Compomics framework, integrating custom and freeware tools.
  • Guidance through database generation, analysis, validation, and submission to PRIDE.
  • Leveraging existing and newly developed bioinformatics tools.

Main Results:

  • The Compomics framework provides an intuitive workflow for proteomics data analysis and submission.
  • It enables laboratories to handle large datasets, fostering collaboration.
  • The framework facilitates the reanalysis of publicly available proteomic data.

Conclusions:

  • The Compomics framework democratizes MS-based proteomics by providing an accessible bioinformatics platform.
  • It supports the expansion of proteomics research beyond specialized facilities.
  • The framework enhances data sharing and reuse within the scientific community.