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Chromatograms

Infrastructure for Chromatographic Mass Spectrometry Data

Bioconductor version: 3.23 · Package version: 1.2.0

The Chromatograms packages defines an efficient infrastructure for storing and handling of chromatographic mass spectrometry data. It provides different implementations of *backends* to store and represent the data. Such backends can be optimized for small memory footprint or fast data access/processing. A lazy evaluation queue and chunk-wise processing capabilities ensure efficient analysis of also very large data sets.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("Chromatograms")

Details

MaintainerPhilippine Louail <philippine.louail@outlook.com>
AuthorJohannes Rainer [aut] (ORCID: <https://orcid.org/0000-0002-6977-7147>), Laurent Gatto [aut] (ORCID: <https://orcid.org/0000-0002-1520-2268>), Philippine Louail [aut, cre] (ORCID: <https://orcid.org/0009-0007-5429-6846>, fnd: European Union HORIZON-MSCA-2021 project Grant No. 101073062: HUMAN – Harmonising and Unifying Blood Metabolic Analysis Networks)
LicenseArtistic-2.0
URLhttps://github.com/RforMassSpectrometry/Chromatograms
Bug Reportshttps://github.com/RforMassSpectrometry/Chromatograms/issues
Downloads rank148
Source branchRELEASE_3_23
biocViewsInfrastructure, MassSpectrometry, Metabolomics, Proteomics, Software

Documentation

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Dependencies

Depends: BiocParallel, ProtGenerics (>= 1.39.2), R (>= 4.5.0)

Imports: data.table, methods, S4Vectors, MsCoreUtils (>= 1.7.5), Spectra

Suggests: msdata (>= 0.19.3), roxygen2, BiocStyle (>= 2.5.19), testthat, knitr (>= 1.1.0), rmarkdown, mzR (>= 2.41.4), MsBackendMetaboLights (>= 1.3.1), pheatmap, vdiffr, IRanges, RColorBrewer

Reverse dependencies

Imports Me (1): MsQuality