Xuan Zhang

Turn `noise' to signal: accurately rectify millions of erroneous short reads through graph learning on edit distances

This paper introduces a method to correct millions of erroneous short reads by leveraging graph learning on edit distances, improving downstream applications like genome abundance quantification and SNP profiling.

A Bag-Of-Motif Model Captures Cell States at Distal Regulatory Sequences

The paper introduces BOM, a computational model that captures cell-type-specific regulatory information in distal sequences by analyzing TF binding motifs, showing it outperforms deep learning models with fewer parameters.

Emergence of new enhancers at late DNA replicating regions

The paper identifies a link between the emergence of new enhancers and late DNA replication regions in mammals, showing increased tissue specificity and TF binding in these regions.

Illumina But With Nanopore: Sequencing Illumina libraries at high accuracy on the ONT MinION using R2C2

The paper demonstrates that Illumina short-read libraries can be sequenced on the ONT MinION with high accuracy using the R2C2 method, achieving error rates comparable to Illumina MiSeq.