- recipe tasmanian-mismatch
Tasmanian tool to analyze mismatches at read and position in high throughput sequencing data
- Homepage:
- License:
GNU Affero General Public License
- Recipe:
- package tasmanian-mismatch¶
- versions:
1.0.7-0
,1.0.6-0
,1.0.4-0
,0.1.3-0
,0.1.1-0
- depends matplotlib-base:
3.1.1
- depends numpy:
- depends numpy:
1.16.4
- depends pandas:
0.25.1
- depends plotly:
4.3.0
- depends python:
>=3.6
- depends scikit-learn:
0.21.2
- depends scipy:
1.2.1
- depends seaborn:
0.9.0
- depends statsmodels:
0.10.1
- depends termcolor:
1.1.0
- 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 tasmanian-mismatch and update with:: mamba update tasmanian-mismatch
To create a new environment, run:
mamba create --name myenvname tasmanian-mismatch
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/tasmanian-mismatch:<tag> (see `tasmanian-mismatch/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/tasmanian-mismatch/README.html)