Literature DB >> 33686856

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

Tobias Kockmann1, Christian Panse1,2.   

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.

Keywords:  R package; computational mass spectrometry; software

Year:  2021        PMID: 33686856     DOI: 10.1021/acs.jproteome.0c00866

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  1 in total

1.  Development of a scoring parameter to characterize data quality of centroids in high-resolution mass spectra.

Authors:  Max Reuschenbach; Lotta L Hohrenk-Danzouma; Torsten C Schmidt; Gerrit Renner
Journal:  Anal Bioanal Chem       Date:  2022-07-25       Impact factor: 4.478

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.