- recipe bioconductor-genomautomorphism
Compute the automorphisms between DNA's Abelian group representations
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/GenomAutomorphism.html
- License:
Artistic-2.0
- Recipe:
This is a R package to compute the automorphisms between pairwise aligned DNA sequences represented as elements from a Genomic Abelian group. In a general scenario, from genomic regions till the whole genomes from a given population (from any species or close related species) can be algebraically represented as a direct sum of cyclic groups or more specifically Abelian p-groups. Basically, we propose the representation of multiple sequence alignments of length N bp as element of a finite Abelian group created by the direct sum of homocyclic Abelian group of prime-power order.
- package bioconductor-genomautomorphism¶
- versions:
1.4.0-0
,1.2.0-0
,1.0.0-0
- depends bioconductor-biocgenerics:
>=0.48.0,<0.49.0
- depends bioconductor-biocparallel:
>=1.36.0,<1.37.0
- depends bioconductor-biostrings:
>=2.70.0,<2.71.0
- depends bioconductor-genomeinfodb:
>=1.38.0,<1.39.0
- depends bioconductor-genomicranges:
>=1.54.0,<1.55.0
- depends bioconductor-iranges:
>=2.36.0,<2.37.0
- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-data.table:
- depends r-doparallel:
- depends r-dplyr:
- depends r-foreach:
- depends r-numbers:
- 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 bioconductor-genomautomorphism and update with:: mamba update bioconductor-genomautomorphism
To create a new environment, run:
mamba create --name myenvname bioconductor-genomautomorphism
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/bioconductor-genomautomorphism:<tag> (see `bioconductor-genomautomorphism/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/bioconductor-genomautomorphism/README.html)