- recipe deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
- Homepage:
- Documentation:
https://github.com/google/deepvariant/blob/v1.10.0/README.md
- License:
BSD / BSD-3-Clause
- Recipe:
- package deepvariant¶
- Versions:
1.10.0-0,1.9.0-0,1.8.0-0,1.5.0-0,1.4.0-0,1.3.0-0,1.2.0-0,1.1.0-2,1.1.0-1,1.10.0-0,1.9.0-0,1.8.0-0,1.5.0-0,1.4.0-0,1.3.0-0,1.2.0-0,1.1.0-2,1.1.0-1,1.1.0-0,1.0.0-3,1.0.0-2,1.0.0-1,1.0.0-0,0.10.0-4,0.10.0-3,0.10.0-2,0.10.0-1,0.10.0-0,0.9.0-0,0.8.0-0,0.7.2-1,0.7.2-0,0.7.1-0,0.7.0-0,0.6.1-3,0.6.1-2,0.6.1-0,0.6.0-0,0.4.1-1,0.4.1-0- Depends:
on absl-py
on altair
on boost-cpp
on contextlib2
on crcmod
on google-cloud-sdk
on htslib
on intervaltree
on mock
on numpy
>=1.21.2on oauth2client
on openjdk
11.0.*on parallel
on protobuf
on psutil
on python
<3.11on requests
on scipy
on six
on tensorflow
2.11.*on tensorflow-estimator
2.11.*
- 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 deepvariant
to add into an existing workspace instead, run:
pixi add deepvariant
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 deepvariant
Alternatively, to install into a new environment, run:
conda create -n envname deepvariant
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/deepvariant:<tag>
(see deepvariant/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:
[](http://bioconda.github.io/recipes/deepvariant/README.html)
