2017
DOI: 10.1093/bioinformatics/btx628
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MALDIrppa: quality control and robust analysis for mass spectrometry data

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-thro… Show more

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Cited by 32 publications
(32 citation statements)
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References 7 publications
(6 reference statements)
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“…The .mzXML files of the spectra were then imported into the statistical program R version 3.4.3 in RStudio_version 1.1.423, and submitted to the package MALDIquantforeign_version 0.11.1 . Further analysis used the R packages MALDIquant_version 1.17 and MALDIrppa_version 1.0.1 . Raw spectra were checked for outliers and trimmed to a range of 2 000 to 20 000 Da.…”
Section: Methodsmentioning
confidence: 99%
“…The .mzXML files of the spectra were then imported into the statistical program R version 3.4.3 in RStudio_version 1.1.423, and submitted to the package MALDIquantforeign_version 0.11.1 . Further analysis used the R packages MALDIquant_version 1.17 and MALDIrppa_version 1.0.1 . Raw spectra were checked for outliers and trimmed to a range of 2 000 to 20 000 Da.…”
Section: Methodsmentioning
confidence: 99%
“…Noise estimation was carried out with a signal to noise ratio (SNR) of 7. Repeated peak binning was carried out with a tolerance of 0.002 in a strict approach and resulting bins were aligned using R package MALDIrppa (Palarea-Albaladejo, McLean, Wright, & Smith, 2018). For the resulting intensity matrix, missing values were interpolated from the corresponding spectrum.…”
Section: Maldi-tof Msmentioning
confidence: 99%
“…Usually, protein sizes for identification of metazoans are measured within a range from 2000 to 20,000 Da (Laakmann et al 2013; Mazzeo and Siciliano 2016; Rossel and Arbizu 2018). To avoid misidentifications based on poor signal quality, a data processing pipeline to recognize mass spectra of minor quality should be applied (Palarea‐Albaladejo et al 2018).…”
Section: Proteomic Fingerprinting By Maldi‐tof Msmentioning
confidence: 99%