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Updated: Mar 21, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
BioTapestry now provides a web application and improved drawing and layout tools.
Suzanne M Paquette1, Kalle Leinonen1, William J R Longabaugh1
1Institute for Systems Biology, Seattle, WA, 98109, USA.
BioTapestry software has been enhanced for gene regulatory network (GRN) visualization. Updates improve network drawing and introduce a web-based viewer, ensuring continued utility for developmental biology research.
Area of Science:
- Developmental Biology
- Systems Biology
- Computational Biology
Background:
- Gene regulatory networks (GRNs) are crucial for understanding embryonic development.
- Effective visualization tools are essential for conceptualizing, understanding, and sharing complex GRN models.
- BioTapestry is an established application for GRN visualization.
Purpose of the Study:
- To enhance the BioTapestry application for improved GRN modeling and visualization.
- To ensure the continued relevance and usability of BioTapestry with evolving technologies.
- To facilitate a deeper understanding of GRN architecture and dynamics.
Main Methods:
- Implemented significant improvements in network drawing and automatic layout algorithms.
- Revised the program architecture to support both the existing Java desktop editor and a new web-based JavaScript viewer.
- Deployed several GRN models using the new BioTapestry GRN Viewer.
Main Results:
- Enhanced BioTapestry versions (6 and 7) offer easier creation of larger, more organized network drawings.
- A new BioTapestry GRN Viewer provides web-based, browser-accessible visualization capabilities.
- The revised architecture successfully integrates the desktop editor with the new web viewer.
Conclusions:
- The recent enhancements make BioTapestry a more powerful and accessible tool for GRN research.
- The introduction of a web application ensures BioTapestry's long-term viability in the face of technological advancements.
- These updates support researchers in advancing their understanding of gene regulatory networks in development.
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