MALDIrppa: quality control and robust analysis for mass spectrometry data

Javier Palarea-Albaladejo, Kevin McLean, Frank Wright, David George Emslie Smith

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Summary: This R package helps to implement a robust approach to deal with mass spectrometry (MS) data. It is aimed at alleviating reproducibility issues and pernicious effects of deviating signals on both data pre-processing and downstream data analysis. Based on robust statistical methods, it facilitates the identification and filtering of low-quality mass spectra and atypical peak profiles, as well as monitoring and data handling through pre-processing, which extends existing computational tools for high-throughput data.

Availability and implementation: MALDIrppa is implemented as a package for the R environment for data analysis and it is freely available to download from the CRAN repository at https://CRAN.R-project.org/package=MALDIrppa.

Contact: javier.palarea@bioss.ac.uk.

Original languageEnglish
Pages (from-to)522–523
Number of pages2
JournalBioinformatics
Volume34
Issue number3
Early online date4 Oct 2017
DOIs
Publication statusPublished - Feb 2018

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