recipe homoeditdistance

An implementation of the homo-edit distance algorithm.

Homepage:

https://github.com/AlBi-HHU/homo-edit-distance

License:

MIT

Recipe:

/homoeditdistance/meta.yaml

A homo-insertion is an insertion of a string of equal characters, which we also call a block, into another string. A homo-deletion is the inverse operation, that is, the deletion of such a block. We consider the following problem: Given two strings, what is the minimum number of homo-insertions or homo-deletions needed to convert one into the other? We refer to this number as the homo-edit distance.

package homoeditdistance

(downloads) docker_homoeditdistance

versions:

0.0.1-0

depends numpy:

depends python:

>=3

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 homoeditdistance

and update with::

   mamba update homoeditdistance

To create a new environment, run:

mamba create --name myenvname homoeditdistance

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/homoeditdistance:<tag>

(see `homoeditdistance/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/homoeditdistance/README.html)