Package Recipe 'msoma'

recipe msoma

mSOMA: Somatic Mutation Detection using a betabinomial null model

Homepage:: https://github.com/AkeyLab/mSOMA
Documentation:: https://akeylab.github.io/mSOMA/
License:: MIT / MIT
Recipe:: /msoma/meta.yaml

package msoma¶

Versions:

0.1.2-0, 0.1.1-0, 0.1.0-0

Depends:

on bamutil
on bioconductor-biostrings
on bioconductor-qvalue
on bioconductor-survcomp
on click >=8.0
on importlib_resources >=5.4
on numpy >=1.19
on pandas >=1.1
on pysam >=0.19
on python >=3.7.1
on r-argparse
on r-base
on r-bbmle
on r-data.table
on r-dplyr
on r-r.utils
on r-tidyverse
on r-vgam
on samtools
on scipy >=1.5
on statsmodels >=0.12

Additional platforms:

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install msoma

to add into an existing workspace instead, run:

pixi add msoma

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install msoma

Alternatively, to install into a new environment, run:

conda create -n envname msoma

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/msoma:<tag>

(see msoma/tags for valid values for <tag>).

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

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/msoma/README.html)