- recipe bioconductor-chromheatmap
Heat map plotting by genome coordinate
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/ChromHeatMap.html
- License:
Artistic-2.0
- Recipe:
- Links:
biotools: chromheatmap, doi: 10.1038/nmeth.3252
The ChromHeatMap package can be used to plot genome-wide data (e.g. expression, CGH, SNP) along each strand of a given chromosome as a heat map. The generated heat map can be used to interactively identify probes and genes of interest.
- package bioconductor-chromheatmap¶
- versions:
1.56.0-0
,1.54.0-0
,1.52.0-0
,1.48.0-0
,1.46.0-0
,1.44.0-1
,1.44.0-0
,1.42.0-0
,1.40.0-0
,1.56.0-0
,1.54.0-0
,1.52.0-0
,1.48.0-0
,1.46.0-0
,1.44.0-1
,1.44.0-0
,1.42.0-0
,1.40.0-0
,1.38.0-1
,1.36.0-0
,1.34.0-0
,1.32.0-0
- depends bioconductor-annotate:
>=1.80.0,<1.81.0
- depends bioconductor-annotationdbi:
>=1.64.0,<1.65.0
- depends bioconductor-biobase:
>=2.62.0,<2.63.0
- depends bioconductor-biocgenerics:
>=0.48.0,<0.49.0
- depends bioconductor-genomicranges:
>=1.54.0,<1.55.0
- depends bioconductor-iranges:
>=2.36.0,<2.37.0
- depends bioconductor-rtracklayer:
>=1.62.0,<1.63.0
- depends r-base:
>=4.3,<4.4.0a0
- 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 bioconductor-chromheatmap and update with:: mamba update bioconductor-chromheatmap
To create a new environment, run:
mamba create --name myenvname bioconductor-chromheatmap
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-chromheatmap:<tag> (see `bioconductor-chromheatmap/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-chromheatmap/README.html)