Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene...

Area of Science:

• Systems Biology
• Computational Biology
• Genomics

Background:

• Developing accurate gene regulatory network (GRN) models is crucial but challenging in systems biology.
• Existing computational tools often require complex parameter choices with significant impact on model outcomes.
• The Inherent Dynamics Pipeline offers a synergistic approach to GRN modeling.

Purpose of the Study:

• To introduce the Inherent Dynamics Visualizer, a web-based tool for interactive exploration of parameter choices within the Inherent Dynamics Pipeline.
• To enhance user confidence and streamline the GRN discovery process from time series transcriptomic data.
• To provide an intuitive interface for evaluating the impact of parameter selections.

Main Methods:

• Development of a comprehensive visualization package with an interactive web browser interface.
• Integration of visualization for each step of the Inherent Dynamics Pipeline.
• Automatic generation of input files for seamless pipeline progression.

Main Results:

• The Inherent Dynamics Visualizer allows users to examine and modify parameters at each pipeline stage.
• Visual feedback facilitates intuitive decision-making regarding parameter choices.
• Streamlined workflow for GRN model development using time series transcriptomic data.

Conclusions:

• The Inherent Dynamics Visualizer significantly improves the usability and interpretability of the Inherent Dynamics Pipeline.
• This tool empowers researchers to build more robust and reliable gene regulatory network models.
• It offers unprecedented access to complex GRN discovery methods.