recipe pod5

Oxford Nanopore Technologies Pod5 File Format Python API and Tools.

Homepage:

https://github.com/nanoporetech/pod5-file-format

Documentation:

https://pod5-file-format.readthedocs.io/en/latest

License:

OTHER / MPL-2.0

Recipe:

/pod5/meta.yaml

POD5 File Format ---------------- POD5 is a file format for storing nanopore dna data in an easily accessible way. The format is able to be written in a streaming manner which allows a sequencing instrument to directly write the format. Data in POD5 is stored using Apache Arrow, allowing users to consume data in many languages using standard tools. What does this project contain ------------------------------ This project contains a core library for reading and writing POD5 data, and a toolkit for accessing this data in other languages. Documentation ------------- Full documentation is found at https://pod5-file-format.readthedocs.io

package pod5

(downloads) docker_pod5

versions:

0.3.15-0

depends h5py:

>=3.11.0,<3.12.dev0

depends iso8601:

depends lib-pod5:

0.3.15

depends more-itertools:

depends numpy:

>=1.21.0

depends packaging:

depends polars:

>=0.19,<1.dev0

depends pyarrow:

>=16.1.0,<16.2.dev0

depends python:

>=3.8

depends pytz:

depends tqdm:

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 pod5

and update with::

   mamba update pod5

To create a new environment, run:

mamba create --name myenvname pod5

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/pod5:<tag>

(see `pod5/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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