He Zhang

Inflammation is an essential trigger for POLE-driven ultramutated colorectal cancer

This study shows that inflammation triggers POLE-mutant colorectal cancer in mice, revealing inflammation as a key driver and establishing a preclinical model for drug discovery.

Deep generative models generate mRNA sequences with enhanced translation capacity and stability

GEMORNA generates mRNA sequences with enhanced translation capacity and stability, showing significant improvements in expression levels and therapeutic applications.

LazySampling and LinearSampling: Fast Stochastic Sampling of RNA Secondary Structure with Applications to SARS-CoV-2

The paper introduces LazySampling and LinearSampling algorithms for fast RNA secondary structure sampling, achieving linear-time performance and enabling analysis of full-genome RNA structures like SARS-CoV-2.

LinearTurboFold: Linear-Time Global Prediction of Conserved Structures for RNA Homologs with Applications to SARS-CoV-2

LinearTurboFold predicts conserved RNA structures for SARS-CoV-2 homologs efficiently, capturing long-range interactions and enabling global structural analysis of full-length genomes.

Diversity, function and evolution of marine invertebrate genomes

The paper compiles and analyzes 190 marine invertebrate genomes to explore their diversity, function, and evolutionary relationships.

CoV-Seq: SARS-CoV-2 Genome Analysis and Visualization

CoV-Seq provides a webserver and command-line tool for rapid analysis and visualization of SARS-CoV-2 genomes, automatically predicting gene boundaries and identifying variants.

Learning to Fold RNAs in Linear Time

The paper introduces a linear-time machine learning-based RNA folding system that improves accuracy and training speed compared to existing methods.