Analysis of Microbial Growth Assays is a user-friendly program for analysis of high-throughput microbial growth assays using Gaussian Process regression. Users can interact with AMiGA via a command-line interface.
Documentation
See documentation for tutorials, technical details, and examples.
Installation
See Installation for instructions and requirements.
License
This project is covered under the GPL-3 license.
Bugs/Feature Requests
Please post issues here.
Manuscript and Citation
FS Midani, J Collins, and RA Britton.
AMiGA: software for automated analysis of microbial growth assays.
mSystems (2021). https://doi.org/10.1128/mSystems.00508-21
To reproduce analysis and figures in the manuscript, see Manuscript README.
Acknowledgements
This software was developed at the Baylor College of Medicine in Houston, Texas, and was supported by several grants from the National Institutes of Health including T32DK007664, R01AI123278, and U01AI124290. Logo for AMiGA was created by Clare Robertson.
1 maintainer
Metadata
1 maintainer
Release files for amiga 3.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| amiga-3.0.4.tar.gz | 92.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| amiga-3.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 197.1 kB
Release files / amiga-3.0.4.tar.gz
| Download URL | amiga-3.0.4.tar.gz |
|---|---|
| Size | 92.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fe01669e5ec3c6a021f49ae73631377fdb9a0e0eb5fa99050debdbb952e08627
|
|
BLAKE2b-256 checksum How to use checksums |
70113a45bfaeccc587df437d8f8008a4479433b7218592e83f1b8fad514cbd5f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 11, 2025.
Transparency logRelease files / amiga-3.0.4-py3-none-any.whl
| Download URL | amiga-3.0.4-py3-none-any.whl |
|---|---|
| Size | 104.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4ae2cc16e0bc6edb4838a0763f4a9790a819451850b966877da1cf95fb334f37
|
|
BLAKE2b-256 checksum How to use checksums |
8c3b350be46f91092371f32094a4f4ae3fafc112830afea682c78bf3e2f35ced
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 11, 2025.
Transparency log
