Computational approaches for multimodal lineage tracing.

Multimodal lineage tracing combined with advanced computational methods enables detailed reconstruction of cellular development with high accuracy and resolution.

• Why it matters: Understanding cell fate decisions is crucial for insights into development, regeneration, and disease, but current complex datasets require sophisticated analysis tools to extract meaningful biological information.
• What they did: The authors review recent computational advances, including methods for lineage reconstruction, trajectory inference, and molecular program identification, applied to single-cell multi-omic data from multimodal lineage tracing.
• The result: These approaches improve the accuracy of cell lineage and state transition analysis, and emerging technologies like deep learning will further enhance our understanding of cellular evolution in health and disease.