Jun Ren

The paper introduces Seq2Kd, a deep learning model predicting TF-DNA binding affinity using high-throughput Kd measurements, and provides a web portal for functional genomics and disease research.

This study evaluates ASTN-seq for PGT, showing its effectiveness in identifying mutations and enabling haplotype analysis in clinical cases with incomplete pedigrees.

The paper introduces two new methods, ChrODIE and ANDIE, for mapping chromatin accessibility and histone modifications without enzymatic cleavage, enabling multi-omics integration.

The paper introduces a method to map transcription factor binding sites genome-wide with single-base resolution and applies it to study cell-type-specific TF cooperativity in human tissues.

This paper introduces CLID techniques for single-frame live-cell super-resolution imaging, achieving 65 nm resolution without complex parameters.