recipe hsdecipher

Pipeline for the downstream analysis of highly similar duplicate genes

Homepage:

https://github.com/zx0223winner/HSDecipher

License:

GPL-3.0-or-later

Recipe:

/hsdecipher/meta.yaml

Many tools have been developed to measure the degree of similarity between gene duplicates within and between species.Here, we present HSDecipher, a bioinformatics pipeline to assist users in the analysis and visualization of highly similar duplicate genes (HSDs). We describe the steps for analysis of HSDs statistics, expanding HSD gene set, and visualizing the results of comparative genomic analyses. HSDecipher represents a useful tool for researchers exploring the evolution of duplicate genes in select eukaryotic species.

package hsdecipher

(downloads) docker_hsdecipher

versions:

1.1.2-0,  1.1.1-0,  1.0.0-1,  1.0.0-0

depends matplotlib-base:

depends pandas:

depends python:

>=3.7

depends seaborn:

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 hsdecipher

and update with::

   mamba update hsdecipher

To create a new environment, run:

mamba create --name myenvname hsdecipher

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/hsdecipher:<tag>

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

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Link to this page

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

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