recipe kb-python

A wrapper for the kallisto | bustools workflow for single-cell RNA-seq pre-processing.

Homepage:

https://github.com/pachterlab/kb_python

Documentation:

https://www.kallistobus.tools

License:

BSD / BSD-2-Clause

Recipe:

/kb-python/meta.yaml

Links:

doi: 10.1101/2023.11.21.568164

package kb-python

(downloads) docker_kb-python

versions:
0.29.1-00.28.2-20.28.2-10.28.2-00.28.1-00.28.0-00.27.3-10.27.3-00.27.2-0

0.29.1-00.28.2-20.28.2-10.28.2-00.28.1-00.28.0-00.27.3-10.27.3-00.27.2-00.27.1-00.27.0-00.26.4-00.26.3-00.26.2-00.26.1-00.26.0-00.25.1-00.25.0-00.24.4-0

depends anndata:

>=0.9.2

depends biopython:

>=1.8

depends h5py:

>=2.10.0

depends jinja2:

>2.10.1

depends loompy:

>=3.0.6

depends nbconvert:

>=5.6.0

depends nbformat:

>=4.4.0

depends ngs-tools:

>=1.8.6

depends numpy:

>=1.17.2

depends pandas:

>=1.5.3

depends plotly:

>=4.5.0

depends python:

>=3.8

depends requests:

>=2.22.0

depends scanpy:

>=1.4.4.post1

depends scikit-learn:

>=0.21.3

depends tqdm:

>=4.39.0

depends typing-extensions:

>=3.7.4

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 kb-python

and update with::

   mamba update kb-python

To create a new environment, run:

mamba create --name myenvname kb-python

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/kb-python:<tag>

(see `kb-python/tags`_ for valid values for ``<tag>``)

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