ProteinBatcher
An end-to-end proteomics workflow with condition-aware imputation, flexible statistical modelling and interactive visualization
Bioconductor version: 3.24 · Package version: 0.99.7
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ProteinBatcher") Details
| Maintainer | Aitor Moruno-Cuenca <morunoaitor@gmail.com> |
| Author | Aitor Moruno-Cuenca [aut, cre] (ORCID: <https://orcid.org/0009-0009-8133-2552>), Dr. Sergi Sayols-Puig [ctb] (ORCID: <https://orcid.org/0000-0002-3877-4170>), Dr. Bruna Oriol-Tordera [ctb] (ORCID: <https://orcid.org/0000-0002-2714-9097>), Dr. Hiba Salim [dtc] (ORCID: <https://orcid.org/0000-0002-2168-0258>), Dr. Francesc Fernández-Albert [ths] (ORCID: <https://orcid.org/0000-0001-5561-0701>), Prof. Dr. Alexandre Perera-Lluna [ths] (ORCID: <https://orcid.org/0000-0001-6427-851X>), Dr. Guadalupe Espadas-García [ctb, dtc] (ORCID: <https://orcid.org/0000-0002-6415-8013>), Dr. Elisa Monzón-Casanova [ctb, fnd] (ORCID: <https://orcid.org/0000-0001-6617-6138>), Prof. Dr. Eduard Sabidó-Aguade [res, ctb, dtc, fnd] (ORCID: <https://orcid.org/0000-0001-6506-7714>) |
| License | MIT + file LICENSE |
| URL | https://github.com/DataScienceRD-Almirall/ProteinBatcher |
| Bug Reports | https://github.com/DataScienceRD-Almirall/ProteinBatcher/issues |
| Source branch | devel |
| biocViews | BatchEffect, DataImport, DataRepresentation, MassSpectrometry, Proteomics, Software |
Documentation
Download
Follow the 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 |
| macOS binary (arm64) | ProteinBatcher_0.99.7.tgz |
| macOS binary (x86_64) | ProteinBatcher_0.99.7.tgz |
Dependencies
Imports: data.table, ggplot2, ggrepel, grDevices, grid, limma, methods, S4Vectors, stats, SummarizedExperiment, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)