Package: pgca 1.31.0

Gabriela Cohen-Freue

pgca: PGCA: An Algorithm to Link Protein Groups Created from MS/MS Data

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.

Authors:Gabriela Cohen-Freue <[email protected]>

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pgca.pdf |pgca.html
pgca/json (API)

# Install 'pgca' in R:
install.packages('pgca', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:pgca-1.31.0(bioc 3.21)pgca-1.30.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

workflowstepassaydomainproteomicsmassspectrometryimmunooncology

4.00 score 3 scripts 154 downloads 3 exports 0 dependencies

Last updated 3 months agofrom:ec5b4ff336. Checks:7 OK. Indexed: yes.

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Doc / VignettesOKJan 05 2025
R-4.5-winOKJan 05 2025
R-4.5-linuxOKJan 05 2025
R-4.4-winOKJan 05 2025
R-4.4-macOKJan 05 2025
R-4.3-winOKJan 05 2025
R-4.3-macOKJan 05 2025

Exports:applyDictpgcaDictsaveDict

Dependencies:

Introduction to the PGCA Package

Rendered fromintro.Rmdusingknitr::rmarkdownon Jan 05 2025.

Last update: 2021-08-24
Started: 2017-01-16