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esyN: network building, sharing and publishing.

Daniel M Bean1, Joshua Heimbach2, Lorenzo Ficorella3

  • 1Cambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom; Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom.

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Summary
This summary is machine-generated.

We developed esyN, a free, open-source tool for creating and sharing biological network models. This platform facilitates collaboration and the exchange of biological network data, enhancing research accessibility.

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Area of Science:

  • Systems Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Biological network construction and analysis are crucial in modern research.
  • Facilitating the exchange of biological network models is essential for scientific progress.

Purpose of the Study:

  • To introduce esyN (easy networks), a free and open-source tool designed to streamline the creation, analysis, and sharing of biological network models.
  • To enable researchers to easily build, view, edit, and collaborate on network models through a searchable online database and web tool.

Main Methods:

  • Development of esyN as a searchable database for user-created biological networks.
  • Creation of a companion web tool for viewing and editing networks using public data.
  • Support for both interaction networks (graphs) and Petri nets.
  • Inclusion of logical templates and the ability to use existing models as building blocks.

Main Results:

  • esyN provides a platform for constructing diverse biological networks, including interaction graphs and Petri nets.
  • The tool allows users to save projects online, share them publicly or privately, and collaborate on network construction.
  • esyN integrates with public databases and offers logical templates for easier model creation.

Conclusions:

  • esyN facilitates the unrestricted exchange of biological network information, promoting open-source principles in biological modeling.
  • The tool enhances collaboration and accessibility in biological network research.
  • esyN aims to simplify and standardize the process of building and sharing biological network models.