recipe mikado

A Python3 annotation program to select the best gene model in each locus

Homepage:

https://github.com/EI-CoreBioinformatics/mikado

License:

LGPL-3.0-or-later

Recipe:

/mikado/meta.yaml

package mikado

Versions:

2.3.4-0,  2.3.3-1,  2.3.3-0,  2.3.2-0,  2.3.1-0,  2.3.0-0,  2.2.5-0,  2.2.4-0,  2.2.3-0, 

2.3.4-0,  2.3.3-1,  2.3.3-0,  2.3.2-0,  2.3.1-0,  2.3.0-0,  2.2.5-0,  2.2.4-0,  2.2.3-0,  2.2.2-0,  2.2.1-0,  2.2.0-0,  2.1.1-0,  2.1.0-0,  2.0.2-0,  2.0.1-1,  2.0.1-0,  2.0-0,  2.0rc2-1,  2.0rc2-0,  1.2.4-0,  1.2.3-1,  1.2.2-1,  1.2.2-0,  1.2.1-0,  1.1.1-0,  1.0.2-0

Depends:

• biopython >=1.78

• datrie >=0.8

• drmaa

• hypothesis

• libgcc-ng >=12

• libstdcxx-ng >=12

• marshmallow >=3.1.0

• marshmallow-dataclass >=8.3.1

• msgpack-python >=1.0.0

• networkx >=2.3

• numpy >=1.21.6,<2.0a0

• pandas >=1.0

• pyfaidx >=0.5.8

• pysam >=0.15.3

• pytest

• python >=3.10,<3.11.0a0

• python-rapidjson >=1.0

• python_abi 3.10.* *_cp310

• pyyaml >=5.1.2

• scipy >=1.9.1,<2.0a0

• six >=1.12.0

• snakemake-minimal >=5.7.0

• sqlalchemy >=1.4.0

• sqlalchemy-utils >=0.34.1

• sqlite

• tabulate >=0.8.5

• toml >=0.10.0

• typeguard >=2.9.1

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install mikado

and update with:

conda update mikado

or use the docker container:

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

(see mikado/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/mikado/README.html)