recipe presto

A bioinformatics toolkit for processing high-throughput lymphocyte receptor sequencing data.

Homepage:

https://bitbucket.org/kleinstein/presto

Documentation:

https://presto.readthedocs.io

License:

AGPL / AGPL-3.0-or-later

Recipe:

/presto/meta.yaml

package presto

versions:

0.7.4-0,  0.7.3-0,  0.7.2-0,  0.7.1-0,  0.7.0-0,  0.6.2-0,  0.6.1-0,  0.6.0-0,  0.5.13-1, 

0.7.4-0,  0.7.3-0,  0.7.2-0,  0.7.1-0,  0.7.0-0,  0.6.2-0,  0.6.1-0,  0.6.0-0,  0.5.13-1,  0.5.13-0,  0.5.12-0,  0.5.10-0,  0.5.4-1,  0.5.4-0

depends biopython:

>=1.81

depends blast:

>=2.5

depends muscle:

>=3.8

depends numpy:

>=1.8

depends packaging:

depends pandas:

>=0.24

depends python:

>=3

depends scipy:

>=0.14

depends vsearch:

>=2.3.2

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 presto

and update with::

   mamba update presto

To create a new environment, run:

mamba create --name myenvname presto

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/presto:<tag>

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

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/presto/README.html)