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.
Metadata
Release files for opqua 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| opqua-1.2.1.tar.gz | 65.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| opqua-1.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 131.4 kB
Release files / opqua-1.2.1.tar.gz
| Download URL | opqua-1.2.1.tar.gz |
|---|---|
| Size | 65.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.12.1
|
Release files / opqua-1.2.1-py3-none-any.whl
| Download URL | opqua-1.2.1-py3-none-any.whl |
|---|---|
| Size | 66.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
45ee5601af4732ef24d6341be24037fc48a31c700fe652733f8427ca7c06d14a
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.12.1
|