Jiyoung Lee

This study profiles root cells from five Brassicaceae species under stress treatments, revealing cell-type-specific gene expression divergence and stress response variation across species.

The paper introduces SPmarker, an interpretable machine learning pipeline to identify new cell-type marker genes in Arabidopsis root single-cell RNA-seq data, finding hundreds of novel markers and expanding trichoblast markers across species.

The paper improves Anopheles genome assemblies using comparative genomics methods and experimental data, resulting in more contiguous and chromosomally anchored assemblies.

The paper describes a protocol to compare time series transcriptome data between plants using a network module finding algorithm to identify conserved developmental stages.

Biopipe simplifies bioinformatics workflow creation and execution, enabling tool comparison through a web interface and automated Docker-based setup.