protti: an R package for comprehensive data analysis of peptide- and protein-centric bottom-up proteomics data
Summary We present a flexible, user-friendly R package called protti for comprehensive quality control, analysis and interpretation of quantitative bottom-up proteomics data. protti supports the analysis of protein-centric data such as those associated with protein expression analyses, as well as pe...
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          | Published in | Bioinformatics advances Vol. 2; no. 1; p. vbab041 | 
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| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        England
          Oxford University Press
    
        2022
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 2635-0041 2635-0041  | 
| DOI | 10.1093/bioadv/vbab041 | 
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| Summary: | Summary
We present a flexible, user-friendly R package called protti for comprehensive quality control, analysis and interpretation of quantitative bottom-up proteomics data. protti supports the analysis of protein-centric data such as those associated with protein expression analyses, as well as peptide-centric data such as those resulting from limited proteolysis-coupled mass spectrometry analysis. Due to its flexible design, it supports analysis of label-free, data-dependent, data-independent and targeted proteomics datasets. protti can be run on the output of any search engine and software package commonly used for bottom-up proteomics experiments such as Spectronaut, Skyline, MaxQuant or Proteome Discoverer, adequately exported to table format.
Availability and implementation
protti is implemented as an open-source R package. Release versions are available via CRAN (https://CRAN.R-project.org/package=protti) and work on all major operating systems. The development version is maintained on GitHub (https://github.com/jpquast/protti). Full documentation including examples is provided in the form of vignettes on our package website (jpquast.github.io/protti/). | 
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| Bibliography: | SourceType-Scholarly Journals-1 content type line 14 ObjectType-Report-1 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 The authors wish it to be known that these authors contributed equally.  | 
| ISSN: | 2635-0041 2635-0041  | 
| DOI: | 10.1093/bioadv/vbab041 |