recipe bioconductor-tenxbusdata

Single cell dataset from 10x in BUS format

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/TENxBUSData.html

License:

BSD_2_clause + file LICENSE

Recipe:

/bioconductor-tenxbusdata/meta.yaml

Download Barcode, UMI, and Set (BUS) format of 10x datasets from within R. This package accompanies the package BUSpaRse, which can load BUS format into R as a sparse matrix, and which has utility functions related to using the C++ command line package bustools.

package bioconductor-tenxbusdata

(downloads) docker_bioconductor-tenxbusdata

versions:
1.16.0-01.14.0-01.12.0-01.8.0-11.8.0-01.6.0-01.4.0-11.4.0-01.2.1-0

1.16.0-01.14.0-01.12.0-01.8.0-11.8.0-01.6.0-01.4.0-11.4.0-01.2.1-01.0.0-0

depends bioconductor-annotationhub:

>=3.10.0,<3.11.0

depends bioconductor-biocgenerics:

>=0.48.0,<0.49.0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-experimenthub:

>=2.10.0,<2.11.0

depends curl:

depends r-base:

>=4.3,<4.4.0a0

requirements:

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 bioconductor-tenxbusdata

and update with::

   mamba update bioconductor-tenxbusdata

To create a new environment, run:

mamba create --name myenvname bioconductor-tenxbusdata

with myenvname being 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/bioconductor-tenxbusdata:<tag>

(see `bioconductor-tenxbusdata/tags`_ for valid values for ``<tag>``)

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