- recipe ggcaller
A de Bruijn graph-based gene-caller and pangenome analysis tool
- Homepage:
- License:
MIT / MIT
- Recipe:
- package ggcaller¶
-
- Versions:
1.4.3-0,1.4.2-0,1.4.1-0,1.3.7-0,1.3.6-0,1.3.5-0,1.3.4-0,1.3.3-1,1.3.3-0,1.4.3-0,1.4.2-0,1.4.1-0,1.3.7-0,1.3.6-0,1.3.5-0,1.3.4-0,1.3.3-1,1.3.3-0,1.3.2-0,1.3.1-0,1.3.0-1,1.3.0-0,1.2.4-2,1.2.4-1,1.2.4-0,1.2.3-0,1.2.2-0,1.2.1-0,1.1.1-0,1.0.0-0- Depends:
on _openmp_mutex
>=4.5on bcbio-gff
on bifrost
>=1.2on bifrost
>=1.3.5,<2.0a0on biopython
1.80.*on boost-cpp
on bzip2
>=1.0.8,<2.0a0on cd-hit
on diamond
>=2.0on gffutils
on hmmer
on intbitset
on joblib
on libgcc
>=13on libstdcxx
>=13on libzlib
>=1.3.1,<2.0a0on mafft
on matplotlib-base
on mkl
>=2022.2.1,<2023.0a0on networkx
on numpy
on pandas
on pthread-stubs
on python
>=3.9,<3.10.0a0on python-edlib
on python-wget
on python_abi
3.9.* *_cp39on pytorch
1.10.*on pytorch
>=1.10.2,<1.11.0a0on pytorch-cpu
1.10.*on rapidnj
on scipy
on seaborn
on snp-sites
on tbb
>=2021.13.0on tqdm
on uncertainties
on xorg-libxaw
on xorg-libxcomposite
on xorg-libxcursor
on xorg-libxdamage
on xorg-libxfixes
on xorg-libxi
on xorg-libxinerama
on xorg-libxpm
on xorg-libxrandr
on zlib
- 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 ggcaller
to add into an existing workspace instead, run:
pixi add ggcaller
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 ggcaller
Alternatively, to install into a new environment, run:
conda create -n envname ggcaller
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/ggcaller:<tag>
(see ggcaller/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/ggcaller/README.html)