Skip to main content

No project description provided

Project description

Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public. build Ruff Code style: black PyPI Latest Release

covvfit

Fitness estimates of SARS-CoV-2 variants.

Note: this package is in currently in an alpha stage. The API is expected to be refined and the documentation is being currently developed.

Installation

Developers

Create a new environment, e.g., using Micromamba:

$ micromamba create -n covvfit -c conda-forge python=3.11

Then, install the package.

For a machine where development happens it comes with developer utilities:

$ pip install poetry
$ poetry install --with dev
$ pre-commit install

See Also

  • V-pipe: a bioinformatics pipeline for viral sequencing data.
  • cojac: command-line tools for the analysis of co-occurrence of mutations on amplicons.

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

covvfit-0.2.0.tar.gz (30.5 kB view details)

Uploaded Source

Built Distribution

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

covvfit-0.2.0-py3-none-any.whl (35.8 kB view details)

Uploaded Python 3

File details

Details for the file covvfit-0.2.0.tar.gz.

File metadata

  • Download URL: covvfit-0.2.0.tar.gz
  • Upload date:
  • Size: 30.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.6 Linux/6.8.0-52-generic

File hashes

Hashes for covvfit-0.2.0.tar.gz
Algorithm Hash digest
SHA256 d1e3022f5d5b3219ad473ed8119b1a225e24da72768901049e6c670e561fe292
MD5 8e81568b0e8ced3249df3125ad927ea8
BLAKE2b-256 de00673067fc552a3b7c3f658848bf43bc6067ab7df4fc703047e95f4b294b35

See more details on using hashes here.

File details

Details for the file covvfit-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: covvfit-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 35.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.6 Linux/6.8.0-52-generic

File hashes

Hashes for covvfit-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c7056dd38a0e6b74fcdb1e5914338c0ca14a5fd9148a1dcb2ffd2e8cdf0ca987
MD5 4cea56ff08162e6a646f4bff87203de0
BLAKE2b-256 ee231be5f793372b7b14b508b65c0501fdae632c5710d8905dcba6bbb764955f

See more details on using hashes here.

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