recipe baredsc

baredSC (Bayesian Approach to Retreive Expression Distribution of Single Cell) is a tool that uses a Monte-Carlo Markov Chain to estimate a confidence interval on the probability density function (PDF) of expression of one or two genes from single-cell RNA-seq data.

Homepage:

https://github.com/lldelisle/baredSC/

License:

GPL3 / GPL-3.0-or-later

Recipe:

/baredsc/meta.yaml

package baredsc

versions:

1.1.3-0,  1.1.2-0,  1.1.1-0,  1.1.0-0

depends anndata:

>=0.7

depends corner:

>=2.0.0

depends matplotlib-base:

>=3.1.1

depends numpy:

>=1.16

depends pandas:

>=0.25.0

depends python:

>=3.7

depends samsam:

>=0.1.2

depends scipy:

>=1.3.0

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 baredsc

and update with::

   mamba update baredsc

To create a new environment, run:

mamba create --name myenvname baredsc

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/baredsc:<tag>

(see `baredsc/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/baredsc/README.html)