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quantMSImageR

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

Processing and Quantification of Targeted Mass Spectrometry Imaging Data


Bioconductor version: Development (3.24)

Implements tools for processing and quantifying targeted DESI-MRM mass spectrometry imaging (MSI) datasets, extending the Cardinal package. Includes signal-to-noise filtering against background pixels, tissue/background separation, per-feature ion images, quantile heatmaps, quantification against on-slide or on-tissue calibration standards, and batch export of per-feature text images for external viewers.

Author: Matthew J. Smith [aut, cre] ORCID iD ORCID: 0000-0002-7357-2670

Maintainer: Matthew J. Smith <mattyjsmith123 at gmail.com>

Citation (from within R, enter citation("quantMSImageR")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

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("quantMSImageR")

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("quantMSImageR")
1. Introduction to quantMSImageR HTML R Script
2. Quantification with calibration standards HTML R Script
Reference Manual PDF

Details

biocViews ImagingMassSpectrometry, Lipidomics, MassSpectrometry, Metabolomics, Normalization, QualityControl, Software, Visualization
Version 0.99.6
In Bioconductor since BioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.5.0), Cardinal(>= 3.6.2)
Imports methods, stats, utils, grDevices, grid, chemCal (>= 0.2.3), viridis (>= 0.6.5), ComplexHeatmap(>= 2.20.0), circlize (>= 0.4.15), matrixStats (>= 0.63.0), pracma (>= 2.4.0), rmarkdown (>= 2.20), purrr (>= 1.0.0), CardinalIO(>= 1.0.0), ProtGenerics(>= 1.34.0), dplyr (>= 1.1.4), ggplot2 (>= 4.0.0), tibble (>= 3.2.1), tidyr (>= 1.3.1), patchwork (>= 1.2.0), yaml (>= 2.3.0)
System Requirements
URL https://mjs-708.github.io/quantMSImageR https://github.com/MJS-708/quantMSImageR
Bug Reports https://github.com/MJS-708/quantMSImageR/issues
See More
Suggests testthat (>= 3.0.0), knitr (>= 1.40), BiocStyle(>= 2.28.0), rstudioapi (>= 0.15.0), DT (>= 0.33), htmltools (>= 0.5.0), magick (>= 2.8.4), openxlsx (>= 4.2.0), matter(>= 2.0.0)
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package quantMSImageR_0.99.6.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64) quantMSImageR_0.99.6.tgz
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/quantMSImageR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/quantMSImageR
Bioc Package Browser https://code.bioconductor.org/browse/quantMSImageR/
Package Short Url https://bioconductor.org/packages/quantMSImageR/
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