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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...
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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Updated: Mar 26, 2026

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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Unipept web services for metaproteomics analysis.

Bart Mesuere1, Toon Willems1, Felix Van der Jeugt1

  • 1Department of Applied Mathematics, Computer Science and Statistics.

Bioinformatics (Oxford, England)
|January 29, 2016
PubMed
Summary
This summary is machine-generated.

Unipept is an open-source tool for metaproteomics analysis, offering interactive data visualization and fast peptide-to-protein matching. Its new web services allow seamless integration into custom applications and data pipelines.

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Area of Science:

  • Bioinformatics
  • Proteomics
  • Computational Biology

Background:

  • Metaproteomics analysis requires efficient tools for handling large datasets.
  • Interactive data visualization aids in understanding complex proteomic data.
  • Programmatic access to analysis tools enhances workflow integration.

Purpose of the Study:

  • To introduce Unipept version 2.4, enhancing metaproteomics analysis capabilities.
  • To provide web services for programmatic access to Unipept's features.
  • To facilitate integration of Unipept into custom applications and data pipelines.

Main Methods:

  • Development of an open-source web application, Unipept.
  • Implementation of a fast index using UniProtKB and NCBI taxonomy.
  • Introduction of web services for metaproteomics analysis.

Main Results:

  • Unipept enables quick retrieval of UniProt entries for tryptic peptides.
  • Web services offer programmatic access to Unipept's analysis features.
  • The tool supports interactive data visualization for metaproteomics.

Conclusions:

  • Unipept version 2.4 enhances metaproteomics analysis through interactive visualization and web services.
  • The open-source nature and web services promote wider adoption and integration.
  • Unipept facilitates efficient and accessible metaproteomics data analysis.