- recipe mikado
A Python3 annotation program to select the best gene model in each locus
- Homepage:
- License:
LGPL-3.0-or-later
- Recipe:
- 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
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
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
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:
[](http://bioconda.github.io/recipes/mikado/README.html)