recipe anise_basil

BASIL is a method to detect breakpoints for structural variants (including insertion breakpoints) from aligned paired HTS reads in BAM format. ANISE is a method for the assembly of large insertions from paired reads in BAM format and a list candidate insert breakpoints as generated by BASIL.

Homepage:

https://github.com/seqan/anise_basil

License:

BSD

Recipe:

/anise_basil/meta.yaml

Links:

doi: 10.1093/bioinformatics/btv051

package anise_basil

(downloads) docker_anise_basil

versions:

1.2.0-8,  1.2.0-7,  1.2.0-6,  1.2.0-4,  1.2.0-3,  1.2.0-2,  1.2.0-1,  1.2.0-0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends libzlib:

>=1.2.13,<2.0a0

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

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 anise_basil

and update with::

   mamba update anise_basil

To create a new environment, run:

mamba create --name myenvname anise_basil

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/anise_basil:<tag>

(see `anise_basil/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda 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/anise_basil/README.html)