- recipe harpy
Process raw haplotagging data, from raw sequences to phased haplotypes.
- Homepage:
- Documentation:
- Developer docs:
- License:
MIT
- Recipe:
- package harpy¶
- versions:
0.3.0-3,0.3.0-2,0.3.0-1,0.3.0-0,0.2.0-0,0.1.1-2,0.1.1-1,0.1.1-0- depends bcftools:
- depends bioconductor-complexheatmap:
- depends bwa:
- depends fastp:
- depends fastqc:
- depends hapcut2:
- depends icu:
- depends leviathan:
- depends libzlib:
- depends llvm-openmp:
- depends multiqc:
- depends naibr-plus:
- depends pysam:
- depends python:
>=3.9,<3.10.0a0- depends python_abi:
3.9.* *_cp39- depends r-base:
- depends r-circlize:
- depends r-dplyr:
- depends r-dt:
- depends r-ggplot2:
- depends r-ggridges:
- depends r-knitr:
- depends r-magrittr:
- depends r-plotly:
- depends r-rmarkdown:
- depends r-stitch:
- depends r-tidyr:
- depends r-viridislite:
- depends rich-click:
- depends sambamba:
- depends samtools:
- depends seqtk:
- depends snakemake:
>=7- depends tabix:
- depends xz:
- requirements:
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 harpy and update with:: mamba update harpy
To create a new environment, run:
mamba create --name myenvname harpy
with
myenvnamebeing 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/harpy:<tag> (see `harpy/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/harpy/README.html)
