recipe deltamsi

DeltaMSI: AI-based modeling of microsatellite instability scoring on NGS data

Homepage:

https://github.com/RADar-AZDelta/DeltaMSI

License:

GNU General Public License v3.0

Recipe:

/deltamsi/meta.yaml

package deltamsi

versions:

1.0.1-0

depends matplotlib-base:

depends numpy:

>=1.21.2

depends openpyxl:

depends pandas:

depends pysam:

>=0.15.3

depends python:

depends scikit-learn:

depends scipy:

depends seaborn:

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 deltamsi

and update with::

   mamba update deltamsi

To create a new environment, run:

mamba create --name myenvname deltamsi

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/deltamsi:<tag>

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