recipe r-metablastr

The metablastr package harnesses the power of BLAST by providing interface functions between it and R.

Homepage:

https://github.com/drostlab/metablastr

License:

GPL / GPL-2.0-or-later

Recipe:

/r-metablastr/meta.yaml

package r-metablastr

(downloads) docker_r-metablastr

versions:

0.3.2-0

depends bioconductor-biostrings:

>=2.48.0

depends bioconductor-genomicfeatures:

>=1.30.3

depends bioconductor-genomicranges:

>=1.30.3

depends bioconductor-iranges:

>=2.16

depends bioconductor-rsamtools:

>=1.30.0

depends bioconductor-rtracklayer:

>=1.38.3

depends libgcc-ng:

>=12

depends libpq:

>=15.4,<16.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-fs:

>=1.5.1

depends r-ggplot2:

>=3.3.3

depends r-ggridges:

>=0.5.0

depends r-ggsci:

>=2.9

depends r-rcolorbrewer:

>=1.1_2

depends r-rcpp:

>=0.12.0

depends r-readr:

>=1.3.1

depends r-scales:

>=1.0.0

depends r-seqinr:

>=3.6_1

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 r-metablastr

and update with::

   mamba update r-metablastr

To create a new environment, run:

mamba create --name myenvname r-metablastr

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/r-metablastr:<tag>

(see `r-metablastr/tags`_ for valid values for ``<tag>``)

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