# install.packages("devtools") devtools::install_github("CogDisResLab/KRSA")
The KRSA Vignette is now available in R (using browseVignettes(“KRSA”)). To have the KRSA Vignette locally accessible, the build_vignettes argument must be set as TRUE when installing the package:
devtools::install_github(build_vignettes = T)
R (>= 3.5.0) version
For Windows users:
installment of Rtools (https://cran.r-project.org/bin/windows/Rtools/).
Kinome Random Sampling Analyzer, or KRSA, is an R Shiny application that automates many of the steps required to analyze PamChip datasets, including peptide filtering, random sampling, heatmap generation, and kinase network generation. This new software makes analyzing kinome array datasets accessible and eliminates much of the human workload that the previous method required. More importantly, KRSA represents the results in a bigger biological context by visualizing altered kinome signaling networks instead of individual kinases.
More info on the PamStation12 platform can be found here: PamGene
The user-supplied kinase-peptide association file and the raw kinome array data file are selected as input. The kinase-peptide associations should be based on the known/predicted interactions found in databases like GPS 3.0 and Kinexus Phosphonet. Expected inputs should be formatted as shown in the example files: vignettes/data_files/example_Median_SigmBg.txt
For technical issues, please start a new issue on this repo: Link
For biological interpretation questions please email: email@example.com