Skip to main content

A serializable type schema for compositional systems biology

Project description

Bigraph-schema

PyPI version Tutorial

Welcome to bigraph-schema – a library providing a serializable type schema for compositional systems biology simulations. This library is an integral component of the broader Process Bigraph project, which seeks to create an innovative framework for representing, simulating, and analyzing complex biological systems.

The goal of bigraph-schema is to support interoperability and extensibility across compositional modeling, facilitating seamless integration with existing and future modeling platforms. This is achieved by establishing a standardized and serializable schema for the complex, hierarchical, and multiscale nature of biological systems.

Installation

To install bigraph-schema, you can use pip:

pip install bigraph-schema

Getting Started

To get started with bigraph-schema, check out our resources:

  • Demo notebook: An interactive Jupyter notebook providing a hands-on demonstration of the functionality of bigraph-schema.
  • Bigraph Schema Basics Tutorial: A comprehensive tutorial covering the essential aspects of the bigraph-schema library. This resource will guide you through the core concepts and methods, helping you to master the basic operations.

License

Bigraph-schema is open-source software released under the Apache 2 License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bigraph-schema-0.0.17.tar.gz (22.8 kB view details)

Uploaded Source

File details

Details for the file bigraph-schema-0.0.17.tar.gz.

File metadata

  • Download URL: bigraph-schema-0.0.17.tar.gz
  • Upload date:
  • Size: 22.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for bigraph-schema-0.0.17.tar.gz
Algorithm Hash digest
SHA256 151a425fcacb2d1f6587cba91acf0f3eb35632bbeae4c15bf8c6e06d659c46b6
MD5 a89bee074eed7f4503b8d966e5fe181c
BLAKE2b-256 bb9ec357f5558a81d47fcf5742b170dbba1d9b68180aae149a1d8c9f984de6dd

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