Jun Xia

This paper investigates how sequencing depth affects low-frequency mutation detection, showing that increasing depth improves fidelity and sensitivity while reducing false positives.

This study creates the first single cell atlas of T21 cerebral cortex, identifying dysregulated genes and developing a platform for data exploration.

The paper creates an ATAC-seq atlas of chromatin accessibility in adult mouse tissues, identifying tissue-specific accessible elements and transcription factor motifs.

This study uses single-cell RNA-seq to analyze human infant retina, identifying cell types, communication networks, and developmental changes, providing a resource for retinal research and regenerative medicine.

This study uses single-cell RNA sequencing to analyze the cellular diversity and molecular markers in the retina of a trisomy 21 fetus, revealing communication networks and novel markers.

FabriEVEs is a database that collects, classifies, and annotates endogenous viral elements in non-mammalian species, enabling comparative analysis and host-virus co-evolution studies.