recipe sctagger

Fast and accurate matching of cellular barcodes across short- and long-reads of single-cell RNA-seq experiments

Homepage:

https://github.com/vpc-ccg/sctagger

License:

MIT

Recipe:

/sctagger/meta.yaml

package sctagger

versions:

1.1.1-0,  1.1-0,  1.0.1-0

depends matplotlib-base:

depends numpy:

>=1.16

depends pandas:

depends pyahocorasick:

depends pysam:

>=0.15

depends python:

>=3.8

depends python-edlib:

depends tqdm:

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 sctagger

and update with::

   mamba update sctagger

To create a new environment, run:

mamba create --name myenvname sctagger

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/sctagger:<tag>

(see `sctagger/tags`_ for valid values for ``<tag>``)

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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/sctagger/README.html)