Efficient tools for the analysis of high-resolution genomics data in R.
Explore the documentation: https://mdeber.github.io/
As of Bioconductor 3.11 (release date April 28, 2020), BRGenomics can be installed directly from Bioconductor:
# install.packages("BiocManager") BiocManager::install("BRGenomics")
Alternatively, the latest development version can be installed from GitHub:
# install.packages("remotes") remotes::install_github("mdeber/BRGenomics@R3")
BRGenomics (and Bioconductor 3.11) require R version 4.0 (release April 24, 2020). Installing the
R3 branch, as shown above, can be installed under R >= 3.5
If you install the development version from Github and you’re using Windows, Rtools for Windows is required.
See the documentation website, which includes an introductory vignette, as well as the documentation for currently implemented functions, complete with demonstrative example code. The package currently includes example PRO-seq data
GRangesListobjects (should be already complete)
BigWigFileListobjects (to avoid loading data into memory)
GPosobjects by default
genebodies()function (like many