recipe effectivet3

Command line NoD (clinod), for predicting nucleolar localization sequences.

Homepage:

http://www.compbio.dundee.ac.uk/nod

License:

Apache License, Version 2.0 + others used internally

Recipe:

/effectivet3/meta.yaml

Links:

biotools: effectivet3

package effectivet3

versions:

1.0.1-0

depends openjdk:

>=6

depends python:

2.7*

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 effectivet3

and update with::

   mamba update effectivet3

To create a new environment, run:

mamba create --name myenvname effectivet3

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/effectivet3:<tag>

(see `effectivet3/tags`_ for valid values for ``<tag>``)

Notes

EffectiveT3 is Java program which is packaged with a custom wrapper shell script. This shell wrapper is called "effectivet3" and is on $PATH by default. By default "-Xms512m -Xmx1g" is set in the wrapper. If you want to overwrite it you can specify these values directly after your binaries. If you have _JAVA_OPTIONS set globally this will take precedence. For example run it with "effectivet3 -Xms512m -Xmx1g …"

Download stats

Link to this page

Render an 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/effectivet3/README.html)