Skip to main content

Utilities for metagoflow and marine omics demos

Project description

marine-omics

Python Version PyPI - Version Read the Docs tests codecov PyPI Downloads Code style: black

Package of utilities for FAIR-Ease demo workflows.

These methods are currently use only for FAIR-EASE pilot demos, but eventually they can serve for general purpose manipulation of metagenomic data, locally and in VREs.

The idea is to provide testable methods to allow as much flexibility and remixing of the functionalities provided

Installation

One of the dependencies is currently not released to PyPI and is in active development, therefore you need to manually install it before marine-omics itself:

# UDAL data query layer
pip install git+https://github.com/fair-ease/py-udal-mgo.git

pip install marine-omics

European Marine Omics Biodiversity Observation Network

Specifically, we aim primarily to manipulate EMO-BON marine genomics sampling data and metadata from ENA project PRJEB51688. The interactive dashboards and jupyter notebooks built on top of this repository can be found here.

The methods are mixture of statistical methods, plotting functionalities, metadata and data handling utilities and generators of holoviz panel widgets and panes. Experimental integration to Galaxy uses a wrapper around bioblend.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

marine_omics-0.1.13.tar.gz (48.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

marine_omics-0.1.13-py3-none-any.whl (55.8 kB view details)

Uploaded Python 3

File details

Details for the file marine_omics-0.1.13.tar.gz.

File metadata

  • Download URL: marine_omics-0.1.13.tar.gz
  • Upload date:
  • Size: 48.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for marine_omics-0.1.13.tar.gz
Algorithm Hash digest
SHA256 ee4603d7abfd547dcd90e75482247005d05d38e99e9566922138d208ac01c800
MD5 2457c309bd423476f36dab6f694d2dc0
BLAKE2b-256 baf607dcb54f25ee403b9472dc06048a32b2c51f18a2e3eb9d41f5a5b2625030

See more details on using hashes here.

Provenance

The following attestation bundles were made for marine_omics-0.1.13.tar.gz:

Publisher: test_deploy.yml on emo-bon/marine-omics-methods

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file marine_omics-0.1.13-py3-none-any.whl.

File metadata

  • Download URL: marine_omics-0.1.13-py3-none-any.whl
  • Upload date:
  • Size: 55.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for marine_omics-0.1.13-py3-none-any.whl
Algorithm Hash digest
SHA256 c1211982d2a72d9495ba47abb0f9fc1a775c9e5ef087fc5703979ad8ce4a7f0f
MD5 9a316d4c5900fe8868c59b50beb6de06
BLAKE2b-256 2768fd1f7ef6b333a0b359b55801b5aede8c38b3ae1b056cb1acdc113f1c5e37

See more details on using hashes here.

Provenance

The following attestation bundles were made for marine_omics-0.1.13-py3-none-any.whl:

Publisher: test_deploy.yml on emo-bon/marine-omics-methods

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page