recipe pycoqc

PycoQC computes metrics and generates interactive QC plots for Oxford Nanopore technologies sequencing data

Homepage:

https://github.com/a-slide/pycoQC

Documentation:

https://a-slide.github.io/pycoQC/

License:

GPL / GNU General Public v3 (GPLv3)

Recipe:

/pycoqc/meta.yaml

package pycoqc

versions:

2.5.2-0,  2.5.0.23-0,  2.5.0.21-0,  2.5.0.3-0,  2.2.4-0,  2.2.3-2,  2.2.3-1,  1.0.alpha1-0

depends h5py:

2.9.0.*

depends jinja2:

2.10.1.*

depends numpy:

1.17.1.*

depends pandas:

0.25.1.*

depends plotly:

4.1.0.*

depends pysam:

0.15.3.*

depends python:

>=3.6

depends scipy:

1.3.1.*

depends tqdm:

4.35.0.*

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 pycoqc

and update with::

   mamba update pycoqc

To create a new environment, run:

mamba create --name myenvname pycoqc

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/pycoqc:<tag>

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

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