- recipe r-bpcells
Efficient operations for single cell ATAC-seq fragments and RNA counts matrices. Interoperable with standard file formats, and introduces efficient bit-packed formats that allow large storage savings and increased read speeds.
- Homepage:
- Developer docs:
- License:
MIT / Apache-2.0 or MIT
- Recipe:
- package r-bpcells¶
- versions:
0.3.0-0- depends hdf5:
>=1.14.3,<1.14.4.0a0- depends libgcc:
>=13- depends libhwy:
>=1.1.0,<1.2.0a0- depends libstdcxx:
>=13- depends libzlib:
>=1.3.1,<2.0a0- depends r-base:
>=4.4,<4.5.0a0- depends r-dplyr:
>=1.0.0- depends r-ggplot2:
>=3.4.0- depends r-ggrepel:
- depends r-hexbin:
- depends r-lifecycle:
- depends r-magrittr:
- depends r-matrix:
- depends r-patchwork:
- depends r-rcolorbrewer:
- depends r-rcpp:
- depends r-readr:
- depends r-rlang:
- depends r-scales:
- depends r-scattermore:
- depends r-stringr:
- depends r-tibble:
- depends r-tidyr:
- depends r-vctrs:
- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install r-bpcells and update with:: mamba update r-bpcells
To create a new environment, run:
mamba create --name myenvname r-bpcells
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/r-bpcells:<tag> (see `r-bpcells/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/r-bpcells/README.html)
