recipe fsm-lite

Frequency-based String Mining (lite)

Homepage:

https://github.com/nvalimak/fsm-lite

License:

GPL / GPL-3

Recipe:

/fsm-lite/meta.yaml

Links:

doi: 10.1038/ncomms12797

A single-core implemetation of frequency-based substring mining. Used to count k-mers in populations of genomes (supplied as fasta files).

package fsm-lite

(downloads) docker_fsm-lite

versions:

1.0-6,  1.0-5,  1.0-4,  1.0-3,  1.0-2,  1.0-1,  1.0-0

depends libgcc:

>=13

depends libstdcxx:

>=13

depends sdsl-lite:

requirements:

additional platforms:

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 fsm-lite

and update with::

   mamba update fsm-lite

To create a new environment, run:

mamba create --name myenvname fsm-lite

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/fsm-lite:<tag>

(see `fsm-lite/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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