Package: pgca 1.29.0

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-1.29.0(bioc 3.20)pgca-1.28.0(bioc 3.19)

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

workflowstepassaydomainproteomicsmassspectrometryimmunooncology

3 exports 4.00 score 0 dependencies 3 scripts 117 downloads

Last updated 5 months agofrom:6ce7c15e4e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:applyDictpgcaDictsaveDict

Dependencies:

Introduction to the PGCA Package

Rendered fromintro.Rmdusingknitr::rmarkdownon Sep 14 2024.

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