An epidemiological modeling framework for population genetics and evolution.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for pablocarderam from gravatar.com pablocarderam

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Pablo Cardenas
  • Tags epidemiology, evolution, biology
  • Requires: Python >=3.6
Classifiers

Project description

Opqua is an epidemiological modeling framework for population genetics and evolution. Opqua stochastically simulates pathogens with specific, evolving genotypes spread through populations of hosts that can have specific immune profiles.

Opqua is a useful tool to test out scenarios, explore hypotheses, and make predictions about the relationship between pathogen evolution and epidemiology.

Visit github.com/pablocarderam/opqua for more information.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for pablocarderam from gravatar.com pablocarderam

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Pablo Cardenas
  • Tags epidemiology, evolution, biology
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

1.2.1

1.2.0

1.1.2

1.1.1

1.1.0

1.0.2

1.0.1

1.0.0

0.9.9

0.9.8.4

0.9.8.3

0.9.8.2

0.9.8.1

0.9.8

0.9.7

0.9.6

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.7

0.1.6

This version

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

Download files

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

Source Distribution

opqua-0.1.5.tar.gz (32.1 kB view details)

Uploaded Source

Built Distribution

opqua-0.1.5-py3-none-any.whl (31.3 kB view details)

Uploaded Python 3

File details

Details for the file opqua-0.1.5.tar.gz.

File metadata

  • Download URL: opqua-0.1.5.tar.gz
  • Upload date:
  • Size: 32.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.1.post20200323 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.7

File hashes

Hashes for opqua-0.1.5.tar.gz
Algorithm Hash digest
SHA256 9c723d3f3e4861ef55166a231e2109cfb426f56c9340a4b4f30868ab2b150bd8
MD5 e2be3df7345e6937edac504b9c913a0a
BLAKE2b-256 46d577553fc61a83efaba10c5dbc1f3112f013b1c26dbb63f41e894834102f49

See more details on using hashes here.

File details

Details for the file opqua-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: opqua-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 31.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.1.post20200323 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.7

File hashes

Hashes for opqua-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 ba6eb831295d92dc7972193ba14c023c3e168bfd7e6042aa73f466a354933b31
MD5 bdc021378ce3502f8d0c2886adf00817
BLAKE2b-256 226daa2e3ffac0092e64a46dfc692883b1d693ede8dcd12ce04bd6c38de90c91

See more details on using hashes here.

Supported by

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