- recipe unifrac-binaries
Fast phylogenetic diversity calculations
- Homepage:
- License:
BSD / BSD-3-Clause
- Recipe:
UniFrac is a commonly phylogenetic diversity distance metric used in microbiome research. The metric relates two microbiome samples together within the context of an evolutionary history, and produces a distance that corresponds to how similar two samples by the amount of overlapping branch length. This package contains command line utilities and a shared library.
- package unifrac-binaries¶
- versions:
1.4-1
,1.4-0
,1.3.2-2
,1.3.2-0
,1.3.1-2
,1.3.1-1
,1.3.1-0
,1.3-0
,1.2.1-0
,1.4-1
,1.4-0
,1.3.2-2
,1.3.2-0
,1.3.1-2
,1.3.1-1
,1.3.1-0
,1.3-0
,1.2.1-0
,1.2-1
,1.2-0
,1.1.3-0
,1.1.2-0
,1.1.1-4
,1.1.1-3
,1.1.1-2
,1.1.1-1
,1.1.1-0
,1.1-0
,1.0.0-1
,1.0.0-0
- depends libaec:
>=1.1.3,<2.0a0
- depends libcblas:
>=3.9.0,<4.0a0
- depends libgcc:
>=13
- depends libgfortran:
- depends libgfortran5:
>=13.3.0
- depends liblapacke:
>=3.9.0,<4.0a0
- depends libstdcxx:
>=13
- depends libzlib:
>=1.3.1,<2.0a0
- depends lz4:
- depends mpi:
- depends zlib:
- requirements:
- additional platforms:
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 unifrac-binaries and update with:: mamba update unifrac-binaries
To create a new environment, run:
mamba create --name myenvname unifrac-binaries
with
myenvname
being 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/unifrac-binaries:<tag> (see `unifrac-binaries/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/unifrac-binaries/README.html)