To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("pgca")
In most cases, you don't need to download the package archive at all.
pgca
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PGCA: An Algorithm to Link Protein Groups Created from MS/MS Data
Bioconductor version: Release (3.5)
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.
Author: Gabriela Cohen-Freue <gcohen at stat.ubc.ca>
Maintainer: Gabriela Cohen-Freue <gcohen at stat.ubc.ca>
Citation (from within R,
enter citation("pgca")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("pgca")
Documentation
| HTML | R Script | Introduction |
| Reference Manual |
Details
| biocViews | AssayDomain, MassSpectrometry, Proteomics, Software, WorkflowStep |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.5 (R-3.4) (0.5 years) |
| License | GPL (>= 2) |
| Depends | |
| Imports | utils, stats |
| LinkingTo | |
| Suggests | knitr, testthat |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | pgca_1.0.0.tar.gz |
| Windows Binary | pgca_1.0.0.zip |
| Mac OS X 10.11 (El Capitan) | pgca_1.0.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/pgca |
| Package Short Url | http://bioconductor.org/packages/pgca/ |
| Package Downloads Report | Download Stats |
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