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ProteinBatcher

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

An end-to-end proteomics workflow with condition-aware imputation, flexible statistical modelling and interactive visualization


Bioconductor version: Development (3.24)

ProteinBatcher provides utilities to read, validate, and harmonize quantitative proteomics result tables generated by DIA-NN from data-independent acquisition mass spectrometry experiments. The package enables batch processing of multiple DIA-NN output files, consistent handling of protein identifiers and associated metadata, and transformation of tabular data into analysis-ready formats. It facilitates downstream differential abundance analysis using linear modeling frameworks based on limma, with explicit support for multivariable experimental designs including batch effects and other confounding covariates, as well as correlation-aware designs via duplicateCorrelation.

Author: Aitor Moruno-Cuenca [aut, cre] ORCID iD ORCID: 0009-0009-8133-2552 , Dr. Sergi Sayols-Puig [ctb] ORCID iD ORCID: 0000-0002-3877-4170 , Dr. Bruna Oriol-Tordera [ctb] ORCID iD ORCID: 0000-0002-2714-9097 , Dr. Hiba Salim [dtc] ORCID iD ORCID: 0000-0002-2168-0258 , Dr. Francesc Fernández-Albert [ths] ORCID iD ORCID: 0000-0001-5561-0701 , Prof. Dr. Alexandre Perera-Lluna [ths] ORCID iD ORCID: 0000-0001-6427-851X , Dr. Guadalupe Espadas-García [ctb, dtc] ORCID iD ORCID: 0000-0002-6415-8013 , Dr. Elisa Monzón-Casanova [ctb, fnd] ORCID iD ORCID: 0000-0001-6617-6138 , Prof. Dr. Eduard Sabidó-Aguade [res, ctb, dtc, fnd] ORCID iD ORCID: 0000-0001-6506-7714

Maintainer: Aitor Moruno-Cuenca <morunoaitor at gmail.com>

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

Aitor Moruno-Cuenca. ProteinBatcher: An end-to-end proteomics workflow with condition-aware imputation, flexible statistical modelling and interactive visualization. doi:10.18129/B9.bioc.ProteinBatcher, R package version 0.99.7, https://bioconductor.org/packages/ProteinBatcher.

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("ProteinBatcher")

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("ProteinBatcher")
ProteinBatcher workflow HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews BatchEffect, DataImport, DataRepresentation, MassSpectrometry, Proteomics, Software
Version0.99.7
In Bioconductor sinceBioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends
Imports data.table, ggplot2, ggrepel, grDevices, grid, limma, methods, S4Vectors, stats, SummarizedExperiment, utils
System Requirements
URLhttps://github.com/DataScienceRD-Almirall/ProteinBatcher
Bug Reportshttps://github.com/DataScienceRD-Almirall/ProteinBatcher/issues
See More
Suggests knitr, rmarkdown, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
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 ProteinBatcher_0.99.7.tar.gz
Windows Binary (x86_64) ProteinBatcher_0.99.7.zip (64-bit only)
macOS Binary (big-sur-x86_64) ProteinBatcher_0.99.7.tgz
macOS Binary (sonoma-arm64) ProteinBatcher_0.99.7.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/ProteinBatcher
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/ProteinBatcher
Package Short Url https://bioconductor.org/packages/ProteinBatcher/
Package Downloads ReportDownload Stats