- recipe microhapulator
Tools for empirical microhaplotype calling, forensic interpretation, and simulation.
- Homepage:
- License:
BSD / BSD-3-Clause
- Recipe:
- package microhapulator¶
-
- Versions:
0.8.4-0,0.8.3-0,0.8.2-0,0.8.1-0,0.8-0,0.7.2-0,0.7.1-0,0.6.1-0,0.5-1,0.8.4-0,0.8.3-0,0.8.2-0,0.8.1-0,0.8-0,0.7.2-0,0.7.1-0,0.6.1-0,0.5-1,0.5-0,0.4.1-0,0.3-0,0.2-0,0.1.3-0- Depends:
on biopython
on fastqc
>=0.11.9on flash
>=1.2on happer
>=0.1on insilicoseq
>=1.5.4,<2.0on jsonschema
>=4.0on matplotlib-base
>=3.0on microhapdb
>=0.10.1on minimap2
>=2.25on multiqc
>=1.14on nbformat
>=5.0,<5.6on numpy
>=1.19on pandas
>1.0on pulp
2.3.1on pysam
>=0.15.2on python
<3.12on samtools
>=1.12on scipy
>=1.7on seaborn-base
>=0.13.2on snakemake-minimal
>=7.15.2,<8.0on termgraph
>=0.5on tqdm
>=4.0
- 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 microhapulator
to add into an existing workspace instead, run:
pixi add microhapulator
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 microhapulator
Alternatively, to install into a new environment, run:
conda create -n envname microhapulator
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/microhapulator:<tag>
(see microhapulator/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/microhapulator/README.html)