Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Proteus: an R package for downstream analysis of MaxQuant output

View ORCID ProfileMarek Gierlinski, Francesco Gastaldello, View ORCID ProfileChris Cole, View ORCID ProfileGeoffrey J. Barton
doi: https://doi.org/10.1101/416511
Marek Gierlinski
*Data Analysis Group, Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Marek Gierlinski
Francesco Gastaldello
†Biological Chemistry and Drug Discovery, University of Dundee, Dundee, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chris Cole
‡Data Analysis Group, Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee, UK; currently at Leverhulme Research Centre for Forensic Science, University of Dundee, Dundee, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Chris Cole
Geoffrey J. Barton
§Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Geoffrey J. Barton
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Proteus is a package for downstream analysis of MaxQuant evidence data in the R environment. It provides tools for peptide and protein aggregation, quality checks, data exploration and visualisation. Interactive analysis is implemented in the Shiny framework, where individual peptides or protein may be examined in the context of a volcano plot. Proteus performs differential expression analysis with the well-established tool limma, which offers robust treatment of missing data, frequently encountered in label-free mass-spectrometry experiments. We demonstrate on real and simulated data that limma results in improved sensitivity over random imputation combined with a t-test as implemented in the popular package Perseus. Embedding Proteus in R provides access to a wide selection of statistical and graphical tools for further analysis and reproducibility by scripting. Availability and implementation: The open-source R package, including example data and tutorials, is available to install from GitHub (https://github.com/bartongroup/proteus).

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted September 20, 2018.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Proteus: an R package for downstream analysis of MaxQuant output
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Proteus: an R package for downstream analysis of MaxQuant output
Marek Gierlinski, Francesco Gastaldello, Chris Cole, Geoffrey J. Barton
bioRxiv 416511; doi: https://doi.org/10.1101/416511
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Proteus: an R package for downstream analysis of MaxQuant output
Marek Gierlinski, Francesco Gastaldello, Chris Cole, Geoffrey J. Barton
bioRxiv 416511; doi: https://doi.org/10.1101/416511

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3700)
  • Biochemistry (7815)
  • Bioengineering (5692)
  • Bioinformatics (21335)
  • Biophysics (10601)
  • Cancer Biology (8202)
  • Cell Biology (11969)
  • Clinical Trials (138)
  • Developmental Biology (6782)
  • Ecology (10424)
  • Epidemiology (2065)
  • Evolutionary Biology (13905)
  • Genetics (9728)
  • Genomics (13103)
  • Immunology (8168)
  • Microbiology (20061)
  • Molecular Biology (7874)
  • Neuroscience (43163)
  • Paleontology (321)
  • Pathology (1281)
  • Pharmacology and Toxicology (2266)
  • Physiology (3362)
  • Plant Biology (7250)
  • Scientific Communication and Education (1316)
  • Synthetic Biology (2012)
  • Systems Biology (5549)
  • Zoology (1133)