Bioconductor release scheduled for October 29

Chromatograms

This is the development version of Chromatograms; to use it, please install the devel version of Bioconductor.

Infrastructure for Chromatographic Mass Spectrometry Data


Bioconductor version: Development (3.22)

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.

Author: Johannes Rainer [aut] ORCID iD ORCID: 0000-0002-6977-7147 , Laurent Gatto [aut] ORCID iD ORCID: 0000-0002-1520-2268 , Philippine Louail [aut, cre] (ORCID: ORCID iD ORCID: 0009-0007-5429-6846 , fnd: European Union HORIZON-MSCA-2021 project Grant No. 101073062: HUMAN – Harmonising and Unifying Blood Metabolic Analysis Networks)

Maintainer: Philippine Louail <philippine.louail at outlook.com>

Citation (from within R, enter citation("Chromatograms")):

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("Chromatograms")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Infrastructure, MassSpectrometry, Metabolomics, Proteomics, Software
Version 0.99.3
In Bioconductor since BioC 3.22 (R-4.5)
License Artistic-2.0
Depends BiocParallel, ProtGenerics(>= 1.39.2), R (>= 4.5.0)
Imports methods, S4Vectors, MsCoreUtils(>= 1.7.5)
System Requirements
URL https://github.com/RforMassSpectrometry/Chromatograms
Bug Reports https://github.com/RforMassSpectrometry/Chromatograms/issues
See More
Suggests msdata(>= 0.19.3), roxygen2, BiocStyle(>= 2.5.19), testthat, knitr (>= 1.1.0), rmarkdown, mzR(>= 2.41.4), Spectra, MsBackendMetaboLights(>= 1.3.1), vdiffr, RColorBrewer
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/Chromatograms
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Chromatograms
Package Short Url https://bioconductor.org/packages/Chromatograms/
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