R-side access to PPI data from Gygi lab
If you use the BioPlex R package in published research, please cite:
Ludwig Geistlinger, Roger Vargas Jr, Tyrone Lee, Joshua Pan, Edward Huttlin, Robert Gentleman (2023) BioPlexR and BioPlexPy: integrated data products for the analysis of human protein interactions. Bioinformatics. doi: 10.1093/bioinformatics/btad091.
Users interested in using the stable release version of the BioPlex
package: please follow the installation instructions
here.
This is the recommended way of installing the package.
It is also possible to install the package directly from GitHub. This is
for users/developers interested in using the latest development version of the
BioPlex
package.
Make sure to have the latest release version of R and Bioconductor installed.
Then proceed from within R via:
BiocManager::install("ccb-hms/BioPlex")
NOTE: you will need the remotes
package to install from github.
To build the package vignettes upon installation use:
BiocManager::install("ccb-hms/BioPlex",
build_vignettes = TRUE,
dependencies = TRUE)
Once you have the package installed, you can inspect the vignettes from within R via:
browseVignettes("BioPlex")
Note that calling functions like getCorum
or getBioPlex
with argument
cache = FALSE
will automatically overwrite the corresponding object in your
cache. It is thus typically not required for a user to interact with the cache.
For more extended control of the cache, use from within R:
cache.dir <- tools::R_user_dir("BioPlex", which = "cache")
bfc <- BiocFileCache::BiocFileCache(cache.dir)
and then proceed as described in the BiocFileCache vignette, Section 1.10
either via cleanbfc()
to clean or removebfc()
to remove your cache.
To do a hard reset (use with caution!):
BiocFileCache::removebfc(bfc)
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