recipe moni

A Pangenomics Index for Finding MEMs

Homepage:

https://github.com/maxrossi91/moni

License:

MIT / MIT

Recipe:

/moni/meta.yaml

MONI (Multi) is a Pangenomics Index for Finding Maximal Exact Matches (MEMs). It uses the prefix-free parsing of the text to build the Burrows-Wheeler Transform (BWT) of the reference genomes, the suffix array (SA) samples at the beginning and at the end of each run of the BWT, and the threshold positions.

package moni

(downloads) docker_moni

versions:

0.2.2-0

depends libgcc:

depends libgcc-ng:

>=9.3.0

depends libstdcxx:

depends libstdcxx-ng:

>=9.3.0

depends libzlib:

>=1.2.13,<2.0a0

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends zlib:

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 moni

and update with::

   mamba update moni

To create a new environment, run:

mamba create --name myenvname moni

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/moni:<tag>

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

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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/moni/README.html)