pgca
PGCA: An Algorithm to Link Protein Groups Created from MS/MS Data
Bioconductor version: 3.24 · Package version: 1.37.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Protein Group Code Algorithm (PGCA) is a computationally inexpensive algorithm to merge protein summaries from multiple experimental quantitative proteomics data. The algorithm connects two or more groups with overlapping accession numbers. In some cases, pairwise groups are mutually exclusive but they may still be connected by another group (or set of groups) with overlapping accession numbers. Thus, groups created by PGCA from multiple experimental runs (i.e., global groups) are called "connected" groups. These identified global protein groups enable the analysis of quantitative data available for protein groups instead of unique protein identifiers.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("pgca")Details
| Maintainer | Gabriela Cohen-Freue <gcohen@stat.ubc.ca> |
| Author | Gabriela Cohen-Freue <gcohen@stat.ubc.ca> |
| License | GPL (>= 2) |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | AssayDomain, ImmunoOncology, MassSpectrometry, Proteomics, Software, WorkflowStep |
| Package Short Url | https://bioconductor.org/packages/pgca/ |
Citation
From within R, enter citation("pgca"):
Gabriela Cohen-Freue. pgca: PGCA: An Algorithm to Link Protein Groups Created from MS/MS Data. doi:10.18129/B9.bioc.pgca, R package version 1.37.0, https://bioconductor.org/packages/pgca.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | pgca_1.37.0.tar.gz |
| Windows binary (x86_64) | pgca_1.37.0.zip |
| macOS binary (arm64) | pgca_1.37.0.tgz |
| macOS binary (x86_64) | pgca_1.37.0.tgz |