Multipath: An R Package to Generate Integrated Reproducible Pathway Models.

Area of Science:

• Bioinformatics
• Computational Biology
• Systems Biology

Background:

• Biological pathway data is rapidly expanding, posing challenges for integration and analysis.
• Reproducibility in biological research is hindered by difficulties in tracking data sources and modifications.

Purpose of the Study:

• To introduce Multipath, a novel framework for biological pathway data integration.
• To demonstrate Multipath's utility in re-tracing pathway knowledge usage and facilitating data integration.
• To enhance the reproducibility of scientific code and analysis through robust data integration.

Main Methods:

• Development of the Multipath framework for data integration and tracking.
• Implementation of a multilayer model using the Wnt Pathway as a case study.
• Documentation of data integration steps within the Multipath framework.

Main Results:

• Multipath enables the integration of diverse biological pathway data types.
• The framework facilitates the tracking of pathway modifications and knowledge source usage.
• A multilayer Wnt Pathway model was successfully constructed using Multipath.

Conclusions:

• Multipath offers a valuable solution for managing and integrating complex biological pathway data.
• The framework significantly contributes to improving the reproducibility of computational analyses in biology.
• Multipath supports scientists in navigating and leveraging the growing body of biological pathway knowledge.