Visualization, documentation, analysis, and communication of large-scale gene regulatory networks

Area of Science:

• Computational Biology
• Systems Biology
• Genetics

Background:

• Genetic regulatory networks (GRNs) are inherently complex, large-scale systems.
• Their spatial and temporal distribution presents significant challenges for existing modeling software.
• There is a critical need for specialized computational tools to effectively model GRNs.

Purpose of the Study:

• To report on the ongoing development of BioTapestry, a custom software tool.
• To introduce BioTapestry as an open-source and freely available solution for building GRN models.
• To outline future development directions and showcase current applications of the tool.

Main Methods:

• Development of BioTapestry, a computational tool specifically designed for GRN modeling.
• Utilizing an open-source framework for accessibility and community contribution.
• Documenting current applications and planning future enhancements.

Main Results:

• BioTapestry is an actively developed, open-source software tool.
• The tool is designed to meet the specific demands of modeling complex GRNs.
• Examples of BioTapestry's application in GRN modeling are provided.

Conclusions:

• BioTapestry offers a tailored solution for the challenges in genetic regulatory network modeling.
• The open-source nature promotes accessibility and collaborative development.
• Ongoing development ensures BioTapestry remains a relevant tool for systems and computational biology research.