- recipe bioconductor-flowcore
flowCore: Basic structures for flow cytometry data
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/flowCore.html
- License:
Artistic-2.0
- Recipe:
- Links:
biotools: flowcore, doi: 10.1186/1471-2105-10-106
Provides S4 data structures and basic functions to deal with flow cytometry data.
- package bioconductor-flowcore¶
-
- Versions:
2.10.0-0
,2.6.0-2
,2.6.0-1
,2.6.0-0
,2.4.0-0
,2.2.0-2
,2.2.0-1
,2.2.0-0
,2.0.0-0
,2.10.0-0
,2.6.0-2
,2.6.0-1
,2.6.0-0
,2.4.0-0
,2.2.0-2
,2.2.0-1
,2.2.0-0
,2.0.0-0
,1.52.0-0
,1.50.0-1
,1.48.1-0
,1.48.0-0
,1.46.2-0
,1.44.0-0
,1.42.3-0
,1.42.0-0
,1.38.2-1
,1.38.2-0
- Depends:
bioconductor-biobase
>=2.58.0,<2.59.0
bioconductor-biocgenerics
>=0.44.0,<0.45.0
bioconductor-cytolib
>=2.10.0,<2.11.0
bioconductor-rprotobuflib
>=2.10.0,<2.11.0
bioconductor-s4vectors
>=0.36.0,<0.37.0
libblas
>=3.9.0,<4.0a0
libgcc-ng
>=12
liblapack
>=3.9.0,<4.0a0
libstdcxx-ng
>=12
r-base
>=4.2,<4.3.0a0
r-bh
>=1.65.0.1
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-flowcore
and update with:
conda update bioconductor-flowcore
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-flowcore:<tag>
(see bioconductor-flowcore/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-flowcore/README.html)