recipe scelvis

SCelVis - web-based visualization of single-cell data

Homepage:

https://github.com/bihealth/scelvis

License:

MIT / MIT

Recipe:

/scelvis/meta.yaml

package scelvis

versions:

0.8.9-0,  0.8.7-0,  0.8.4-0,  0.8.3-0,  0.8.2-1,  0.8.2-0,  0.8.1-0,  0.8.0-0,  0.7.3-0, 

0.8.9-0,  0.8.7-0,  0.8.4-0,  0.8.3-0,  0.8.2-1,  0.8.2-0,  0.8.1-0,  0.8.0-0,  0.7.3-0,  0.7.2-0,  0.7.1-0,  0.7.0-0,  0.6.0-0,  0.5.0-1,  0.5.0-0,  0.4.1-0,  0.4.0-1,  0.4.0-0,  0.3.0-0,  0.2.1-0,  0.2.0-0,  0.1.0-0

depends anndata:

>=0.7.6

depends attrs:

>=21.2

depends click:

<8.0

depends dash:

depends dash-bootstrap-components:

depends dash-core-components:

>1.0,<2.0

depends dash-html-components:

>1.0,<2.0

depends dash-renderer:

>=1.9.1,<2.0

depends dash-table:

>=5.0

depends flask:

>=2.0

depends flask-caching:

>=1.10

depends fs:

>=2.4.11

depends fs.sshfs:

>=1.0.0

depends htmllistparse:

>=0.5

depends logzero:

>=1.7.0

depends numpy:

<1.21

depends pandas:

>=1.3.4

depends plotly:

>=5.3.1

depends python:

>=3.6

depends python-irodsclient:

>=1.1.0

depends requests:

>=2.26.0

depends ruamel.yaml:

>=0.17.17

depends s3fs:

>=2021.11.0

depends scanpy:

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 scelvis

and update with::

   mamba update scelvis

To create a new environment, run:

mamba create --name myenvname scelvis

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/scelvis:<tag>

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