- recipe deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data
- Homepage:
- License:
MIT
- Recipe:
- package deepvariant¶
- versions:
1.5.0-0
,1.4.0-0
,1.3.0-0
,1.2.0-0
,1.1.0-2
,1.1.0-1
,1.1.0-0
,1.0.0-3
,1.0.0-2
,1.5.0-0
,1.4.0-0
,1.3.0-0
,1.2.0-0
,1.1.0-2
,1.1.0-1
,1.1.0-0
,1.0.0-3
,1.0.0-2
,1.0.0-1
,1.0.0-0
,0.10.0-4
,0.10.0-3
,0.10.0-2
,0.10.0-1
,0.10.0-0
,0.9.0-0
,0.8.0-0
,0.7.2-1
,0.7.2-0
,0.7.1-0
,0.7.0-0
,0.6.1-3
,0.6.1-2
,0.6.1-0
,0.6.0-0
,0.4.1-1
,0.4.1-0
- depends absl-py:
- depends altair:
- depends boost:
- depends contextlib2:
- depends crcmod:
- depends curl:
>=7.87.0,<8.0a0
- depends enum34:
- depends google-cloud-sdk:
- depends htslib:
- depends intervaltree:
- depends libzlib:
>=1.2.13,<1.3.0a0
- depends mock:
- depends numpy:
1.16.*
- depends oauth2client:
- depends openjdk:
>=8,<9
- depends parallel:
- depends protobuf:
- depends psutil:
- depends python:
>=3.6,<3.7.0a0
- depends python_abi:
3.6.* *_cp36m
- depends requests:
- depends scipy:
- depends six:
- depends tensorflow-estimator:
2.0.*
- depends tensorflow-gpu:
2.0.*
- depends unzip:
- depends zlib:
>=1.2.13,<1.3.0a0
- 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 deepvariant and update with:: mamba update deepvariant
To create a new environment, run:
mamba create --name myenvname deepvariant
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/deepvariant:<tag> (see `deepvariant/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/deepvariant/README.html)