recipe bioconductor-snifter

R wrapper for the python openTSNE library

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/snifter.html

License:

GPL-3

Recipe:

/bioconductor-snifter/meta.yaml

Provides an R wrapper for the implementation of FI-tSNE from the python package openTNSE. See Poličar et al. (2019) <doi:10.1101/731877> and the algorithm described by Linderman et al. (2018) <doi:10.1038/s41592-018-0308-4>.

package bioconductor-snifter

(downloads) docker_bioconductor-snifter

versions:

1.12.0-0,  1.10.0-0,  1.8.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-1,  1.0.0-0

depends bioconductor-basilisk:

>=1.14.0,<1.15.0

depends r-assertthat:

depends r-base:

>=4.3,<4.4.0a0

depends r-irlba:

depends r-reticulate:

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-snifter

and update with::

   mamba update bioconductor-snifter

To create a new environment, run:

mamba create --name myenvname bioconductor-snifter

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-snifter:<tag>

(see `bioconductor-snifter/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-snifter/README.html)