- recipe phame
A tool to derive SNP matrices and phylogenetic tree from raw reads, contigs, and full genomes.
- Homepage:
- License:
GPLV2
- Recipe:
- Links:
biotools: phame
- package phame¶
-
- Versions:
1.0.3-3,1.0.3-1,1.0.3-0,1.0.2-0,1.0.1-0,1.0.0-1,1.0-0- Depends:
on bbmap
>=38.0on bcftools
on bowtie2
>=2.4.1on bwa
>=0.7.17,<0.8.0on curl
>=7.68.0on fasttree
>=2.1.10,<2.2.0on hyphy
>=2.5.0on iqtree
>=2.0.0on mafft
>=7.471on mummer
on muscle
>=3.8.31,<4.0.0on openmpi
>=4.0.0on paml
>=4.9,<5.0on perl
>=5.26.0,<5.35.0on perl
>=5.32.1,<6.0a0 *_perl5on perl-bioperl
>=1.7.2,<1.8.0on perl-file-path
>=2.12on perl-getopt-long
>=2.50on perl-parallel-forkmanager
>=1.17on perl-statistics-distributions
>=1.02on raxml-ng
>=1.0.0on samtools
>=0.1.18,<1.12on zlib
>=1.2.11
- 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 phame
to add into an existing workspace instead, run:
pixi add phame
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 phame
Alternatively, to install into a new environment, run:
conda create -n envname phame
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/phame:<tag>
(see phame/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/phame/README.html)