recipe bioconductor-syntenet

Inference And Analysis Of Synteny Networks

Homepage:

https://bioconductor.org/packages/3.17/bioc/html/syntenet.html

License:

GPL-3

Recipe:

/bioconductor-syntenet/meta.yaml

syntenet can be used to infer synteny networks from whole-genome protein sequences and analyze them. Anchor pairs are detected with the MCScanX algorithm, which was ported to this package with the Rcpp framework for R and C++ integration. Anchor pairs from synteny analyses are treated as an undirected unweighted graph (i.e., a synteny network), and users can perform: i. network clustering; ii. phylogenomic profiling (by identifying which species contain which clusters) and; iii. microsynteny-based phylogeny reconstruction with maximum likelihood.

package bioconductor-syntenet

versions:

1.4.0-0,  1.2.4-0,  1.0.0-1,  1.0.0-0

depends __osx:

>=10.9

depends bioconductor-biocparallel:

>=1.36.0,<1.37.0

depends bioconductor-biocparallel:

>=1.36.0,<1.37.0a0

depends bioconductor-biostrings:

>=2.70.0,<2.71.0

depends bioconductor-biostrings:

>=2.70.1,<2.71.0a0

depends bioconductor-genomicranges:

>=1.54.0,<1.55.0

depends bioconductor-genomicranges:

>=1.54.1,<1.55.0a0

depends bioconductor-rtracklayer:

>=1.62.0,<1.63.0

depends bioconductor-rtracklayer:

>=1.62.0,<1.63.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libcxx:

>=15.0.7

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.3,<4.4.0a0

depends r-ggnetwork:

depends r-ggplot2:

depends r-igraph:

depends r-intergraph:

depends r-networkd3:

depends r-pheatmap:

depends r-rcolorbrewer:

depends r-rcpp:

>=1.0.8

depends r-rlang:

depends r-testthat:

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-syntenet

and update with::

   mamba update bioconductor-syntenet

To create a new environment, run:

mamba create --name myenvname bioconductor-syntenet

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-syntenet:<tag>

(see `bioconductor-syntenet/tags`_ for valid values for ``<tag>``)

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