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

This version

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-0.9.8.2.tar.gz (60.7 kB view details)

Uploaded Source

Built Distribution

opqua-0.9.8.2-py3-none-any.whl (49.5 kB view details)

Uploaded Python 3

File details

Details for the file opqua-0.9.8.2.tar.gz.

File metadata

  • Download URL: opqua-0.9.8.2.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-0.9.8.2.tar.gz
Algorithm Hash digest
SHA256 791c10eeeb5a49d2dec8663d26cb00f68548712b30e6f0fafdf54c10c5473e1b
MD5 66e25b3451053ef1f76748ae9bd55804
BLAKE2b-256 e47d95c3e3543aee282c440af188b722fe78c8a3270cb096543ff0a44f128359

See more details on using hashes here.

File details

Details for the file opqua-0.9.8.2-py3-none-any.whl.

File metadata

  • Download URL: opqua-0.9.8.2-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-0.9.8.2-py3-none-any.whl
Algorithm Hash digest
SHA256 980b5df3d9b0def758465aec1170c9b5fe12640de53063aa8f6af287d8cda955
MD5 285bba1c7451ad50ee872a8a4636e60c
BLAKE2b-256 8aab2114e59df82266ac0b18f9ebad8f6c6a483207a3e0af7ec16cee95c7a97a

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