PIVOT: an open-source tool for multi-omic spatial data registration

Area of Science:

• Spatial biology
• Multi-omics data integration
• Bioinformatics

Background:

• Spatial profiling technologies generate multi-omic atlases across biological scales.
• Integrating these multi-modal datasets typically requires complex, multi-step registration workflows.

Purpose of the Study:

• To introduce PIVOT, a user-friendly, open-source interface designed to streamline nonlinear registration.
• To enhance the throughput and efficiency of registering multi-omic cohorts.

Main Methods:

• Developed PIVOT, a novel software interface for nonlinear registration.
• Applied PIVOT to register three distinct multi-omic datasets.
• Compared PIVOT's performance against existing registration workflows.

Main Results:

• PIVOT successfully registered multi-omic datasets, demonstrating its capability.
• The performance of PIVOT was evaluated and compared to established methods.
• PIVOT offers a streamlined approach to spatial data integration.

Conclusions:

• PIVOT provides an efficient and accessible solution for nonlinear registration in multi-omic studies.
• The tool facilitates the integration of spatial profiling data, advancing the creation of comprehensive biological atlases.
• PIVOT enhances the throughput for analyzing large-scale multi-omic cohorts.