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High-throughput metaproteomics data analysis with Unipept: A tutorial.

Bart Mesuere1, Felix Van der Jeugt2, Toon Willems2

  • 1Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium; VIB-UGent Center for Medical Biotechnology, VIB, Ghent, Belgium; Department of Biochemistry, Ghent University, Ghent, Belgium.

Journal of Proteomics
|May 30, 2017
PubMed
Summary
This summary is machine-generated.

This tutorial introduces the Unipept command line interface for analyzing shotgun metaproteomics data. It simplifies protein inference and taxonomic/functional analysis of microbial communities.

Keywords:
BiodiversityData analysisMetaproteomicsTutorial

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Ecology

Background:

  • Shotgun metaproteomics is crucial for understanding microbial community composition.
  • Key analysis steps include protein inference and taxonomic/functional assignment.
  • Existing tools may lack comprehensive command-line functionality.

Purpose of the Study:

  • Introduce the Unipept command line interface (CLI) as a metaproteomics analysis tool.
  • Provide a tutorial for using Unipept CLI for protein inference and taxonomic/functional analysis.
  • Demonstrate the CLI's utility with case studies and compare results with the web interface.

Main Methods:

  • Utilized the Unipept command line interface.
  • Performed protein inference from identified peptides.
  • Determined taxonomic origin and function of proteins.
  • Analyzed single tryptic peptides and sets of peptides from shotgun metaproteomics experiments.
  • Compared CLI results with Unipept website's interactive analysis.

Main Results:

  • The Unipept CLI offers a platform-independent solution for metaproteomics data analysis.
  • Case studies demonstrated the successful inference of proteins and their functional/taxonomic origins.
  • CLI analysis results were comparable to the interactive web-based analysis.

Conclusions:

  • The Unipept CLI is a powerful and versatile tool for metaproteomics data analysis.
  • It streamlines the process of protein inference and functional/taxonomic profiling.
  • The CLI provides a valuable alternative for researchers analyzing complex microbial ecosystems.