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The rawrr R Package: Direct Access to Orbitrap Data and Beyond.

Authors :
Kockmann T
Panse C
Source :
Journal of proteome research [J Proteome Res] 2021 Apr 02; Vol. 20 (4), pp. 2028-2034. Date of Electronic Publication: 2021 Mar 09.
Publication Year :
2021

Abstract

The Bioconductor project ( Nat. Methods 2015 , 12 (2), 115-121) has shown that the R statistical environment is a highly valuable tool for genomics data analysis, but with respect to proteomics, we are still missing low-level infrastructure to enable performant and robust analysis workflows in R. Fundamentally important are libraries that provide raw data access. Our R package rawDiag ( J. Proteome Res. 2018 , 17 (8), 2908-2914) has provided the proof-of-principle how access to mass spectrometry raw files can be realized by wrapping a vendor-provided advanced programming interface (API) for the purpose of metadata analysis and visualization. Our novel package rawrr now provides complete, OS-independent access to all spectral data logged in Thermo Fisher Scientific raw files. In this technical note, we present implementation details and describe the main functionalities provided by the rawrr package. In addition, we report two use cases inspired by real-world research tasks that demonstrate the application of the package. The raw data used for demonstration purposes was deposited as MassIVE data set MSV000086542. Availability: https://github.com/fgcz/rawrr.

Details

Language :
English
ISSN :
1535-3907
Volume :
20
Issue :
4
Database :
MEDLINE
Journal :
Journal of proteome research
Publication Type :
Academic Journal
Accession number :
33686856
Full Text :
https://doi.org/10.1021/acs.jproteome.0c00866