- recipe clair3
Clair3 is a small variant caller for long-reads. Clair3 makes the best of both worlds of using pileup or full-alignment as input for deep-learning based long-read small variant calling. Clair3 is simple and modular for easy deployment and integration.
- Homepage:
- License:
BSD-3-Clause
- Recipe:
- package clair3¶
-
- Versions:
2.0.0-1,2.0.0-0,1.2.0-0,1.1.2-0,1.1.1-0,1.1.0-0,1.0.11-0,1.0.10-1,1.0.10-0,2.0.0-1,2.0.0-0,1.2.0-0,1.1.2-0,1.1.1-0,1.1.0-0,1.0.11-0,1.0.10-1,1.0.10-0,1.0.8-2,1.0.8-1,1.0.8-0,1.0.7-1,1.0.7-0,1.0.6-0,1.0.5-0,1.0.4-3,1.0.4-2,1.0.4-1,1.0.4-0,1.0.3-0,1.0.2-0,1.0.1-0,1.0.0-1,1.0.0-0,0.1.12-6,0.1.12-5,0.1.12-4,0.1.12-2,0.1.12-1,0.1.12-0,0.1.11-6,0.1.11-5,0.1.11-4,0.1.11-3,0.1.11-2,0.1.11-1,0.1.11-0,0.1.10-0,0.1.9-0,0.1.8-0,0.1.7-0,0.1.6-0,0.1.5-0,0.1.4.2-0,0.1.4.1-0,0.1.4-0- Depends:
on bzip2
>=1.0.8,<2.0a0on cffi
<2on h5py
on hdf5plugin
on libcurl
>=8.19.0,<9.0a0on libdeflate
>=1.25,<1.26.0a0on libgcc
>=14on liblzma
>=5.8.2,<6.0a0on libstdcxx
>=14on libzlib
>=1.3.2,<2.0a0on longphase
>=2.0.1,<3.0a0on numexpr
on numpy
on openssl
>=3.5.5,<4.0a0on parallel
>=20191122on pigz
on python
>=3.11,<3.12.0a0on python_abi
3.11.* *_cp311on pytorch-cpu
on samtools
>=1.15on torchmetrics
on tqdm
on whatshap
>=1.0on zstd
- Additional platforms:
linux-aarch64,osx-arm64
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 clair3
to add into an existing workspace instead, run:
pixi add clair3
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 clair3
Alternatively, to install into a new environment, run:
conda create -n envname clair3
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/clair3:<tag>
(see clair3/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/clair3/README.html)