Chromatograms
This is the development version of Chromatograms; for the stable release version, see Chromatograms.
Infrastructure for Chromatographic Mass Spectrometry Data
Bioconductor version: Development (3.24)
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] 
, Laurent Gatto [aut] , Philippine Louail [aut, cre] (ORCID: , 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("Chromatograms")):Johannes Rainer, Laurent Gatto, Philippine Louail. Chromatograms: Infrastructure for Chromatographic Mass Spectrometry Data. doi:10.18129/B9.bioc.Chromatograms, R package version 1.3.4, https://bioconductor.org/packages/Chromatograms.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("Chromatograms")For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Chromatograms")| Creating new `ChromBackend` class for Chromatograms | HTML | R Script |
| Using and understanding a Chromatograms object | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Infrastructure, MassSpectrometry, Metabolomics, Proteomics, Software |
| Version | 1.3.4 |
| In Bioconductor since | BioC 3.22 (R-4.5) (1 year) |
| License | Artistic-2.0 |
| Depends | BiocParallel, ProtGenerics (>= 1.39.2), R (>= 4.5.0) |
| Imports | data.table, methods, S4Vectors, MsCoreUtils (>= 1.7.5), Spectra |
| System Requirements | |
| URL | https://github.com/RforMassSpectrometry/Chromatograms |
| Bug Reports | https://github.com/RforMassSpectrometry/Chromatograms/issues |
See More
| Suggests | MsDataHub, roxygen2, BiocStyle (>= 2.5.19), testthat, knitr (>= 1.1.0), rmarkdown, mzR (>= 2.41.4), MsBackendMetaboLights (>= 1.3.1), pheatmap, vdiffr, IRanges, RColorBrewer |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | MsQuality, xcms |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | Chromatograms_1.3.4.tar.gz |
| Windows Binary (x86_64) | Chromatograms_1.3.3.zip |
| macOS Binary (big-sur-x86_64) | Chromatograms_1.3.4.tgz |
| macOS Binary (sonoma-arm64) | Chromatograms_1.3.3.tgz |
| 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/ |
| Package Downloads Report | Download Stats |