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

This version

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

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-0.9.8.3.tar.gz (60.7 kB view details)

Uploaded Source

Built Distribution

opqua-0.9.8.3-py3-none-any.whl (49.5 kB view details)

Uploaded Python 3

File details

Details for the file opqua-0.9.8.3.tar.gz.

File metadata

  • Download URL: opqua-0.9.8.3.tar.gz
  • Upload date:
  • Size: 60.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.6.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.5

File hashes

Hashes for opqua-0.9.8.3.tar.gz
Algorithm Hash digest
SHA256 12dff0b6becb0899d23da86d55ec5209b25a25427e1f02c3f1bbe708b388e198
MD5 c2c52522b0122bcbbe4d0975fd1b4c30
BLAKE2b-256 483217fca81f60fd26ab3b0f7f36ddfcd96836ce7fe2b2c4a25ad47ce41b6b56

See more details on using hashes here.

File details

Details for the file opqua-0.9.8.3-py3-none-any.whl.

File metadata

  • Download URL: opqua-0.9.8.3-py3-none-any.whl
  • Upload date:
  • Size: 49.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.6.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.5

File hashes

Hashes for opqua-0.9.8.3-py3-none-any.whl
Algorithm Hash digest
SHA256 966a30cf72f653d23f2e6bf31fcdbfbd3f4a132f424b45d386cc0ab569c1996f
MD5 2a54fa8d82811bc0295f297a1078f62b
BLAKE2b-256 f85bb688f6e94faf1dbebfcbd6177bb905f72a9811b845756f9eaa2a69b1535d

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