AMAS (Automatic Model Annotation System)
Project description
AMAS: Automatic Model Annotation System
AMAS (Automatic Model Annotation System) predicts and recommends annotations for systems biology models. It uses information of species and reactions in the SBML models and provides recommendations. The algorithm uses ChEBI for species annotations, and Rhea for reaction annotations. AMAS was developed and tested using BioModels and BiGG.
For more information, please check our Read the Docs page.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
AMAS-sb-1.0.1.tar.gz
(23.2 MB
view details)
Built Distribution
AMAS_sb-1.0.1-py3-none-any.whl
(23.4 MB
view details)
File details
Details for the file AMAS-sb-1.0.1.tar.gz.
File metadata
- Download URL: AMAS-sb-1.0.1.tar.gz
- Upload date:
- Size: 23.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d485a2399183e0835f052325d80d63ea54c58f461ab4b65f51476c279c7fbc5f |
|
| MD5 | 20204fa3bd0ff5ea3557cde73abf6bae |
|
| BLAKE2b-256 | 78cc70418140921ece106109db2d6919f4751cd1c7bcb0c423339eaeb7ee9b89 |
File details
Details for the file AMAS_sb-1.0.1-py3-none-any.whl.
File metadata
- Download URL: AMAS_sb-1.0.1-py3-none-any.whl
- Upload date:
- Size: 23.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9fb3ebd465213250ae3b397584b73cb8ec0ca4c5598751fef01684ed1d150db4 |
|
| MD5 | a15dd0b8e17a766323aebfd05ddbb2a9 |
|
| BLAKE2b-256 | d870c7a0abb9d2dcb90670610006175f967b98e4d54cda24aa3386d3be9fec36 |
