recipe bioconductor-cll

A Package for CLL Gene Expression Data

Homepage:

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

License:

LGPL

Recipe:

/bioconductor-cll/meta.yaml

The CLL package contains the chronic lymphocytic leukemia (CLL) gene expression data. The CLL data had 24 samples that were either classified as progressive or stable in regards to disease progression. The data came from Dr. Sabina Chiaretti at Division of Hematology, Department of Cellular Biotechnologies and Hematology, University La Sapienza, Rome, Italy and Dr. Jerome Ritz at Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

package bioconductor-cll

(downloads) docker_bioconductor-cll

versions:
1.46.0-0,  1.42.0-0,  1.40.0-0,  1.38.0-0,  1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.30.0-0, 

1.46.0-0,  1.42.0-0,  1.40.0-0,  1.38.0-0,  1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.30.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.22.0-0

depends bioconductor-affy:

>=1.84.0,<1.85.0

depends bioconductor-biobase:

>=2.66.0,<2.67.0

depends bioconductor-data-packages:

>=20241103

depends curl:

depends r-base:

>=4.4,<4.5.0a0

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-cll

and update with::

   mamba update bioconductor-cll

To create a new environment, run:

mamba create --name myenvname bioconductor-cll

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-cll:<tag>

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

Download stats

Link to this page

Render an install-with-bioconda 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-cll/README.html)