SysBioVerse: software for molecular systems biology

Open-source Python software for prior knowledge, networks and mechanistic modelling, from the Saez Lab and collaborators.

Packages

annnet

Interoperable network data structure with hypergraph and multi-layer support.

documentation | GitHub

omnipath

Integrated access to 200+ databases of diverse prior knowledge.

documentation | GitHub | OmniPath

corneto

Flexible and high-performance network optimization framework.

corneto.org | GitHub

networkcommons

Benchmarking network optimization methods.

documentation | GitHub

Papers

Publications describing the SysBioVerse packages will be listed here. In the meantime, see the publication lists on the documentation site of each package.

About

SysBioVerse is a family of open-source Python packages for molecular systems biology. The packages share data structures and conventions, so prior knowledge, networks and models can move between them without conversion work.

We work in close collaboration with scverse, the ecosystem of Python packages for single-cell omics analysis. SysBioVerse packages build on scverse data structures and are designed to be used together with them.

The software is developed by the Saez Lab and collaborators. Questions and feedback: open an issue in the repository of the package, or write to omnipathdb@gmail.com.