Are We Misinterpreting Plant Single-Cell Data? Rethinking Analysis Strategies for Non-Model Plant Species

The Li lab focuses on developing computational frameworks to overcome fundamental barriers in plant single-cell genomics, particularly for non-model organisms. By integrating enhanced genome annotations, rigorous benchmarking of analytical methods, and cross-species marker gene mapping, my work aims to improve the accuracy and scalability of single-cell data interpretation. These approaches ultimately seek to enable more reliable comparative analyses across diverse plant species, facilitating the transfer of biological insights from model systems to crops and other understudied species.