Zhang Zhang

MTB-KB consolidates fragmented MTB research into a structured knowledgebase with a knowledge graph, enabling exploration of MTB-host interactions and treatment strategies.

OpenBase provides a framework for high-accuracy detection of diverse non-canonical DNA bases using nanopore sequencing through standardized training data and deep learning models.

This study uses nanopore direct RNA sequencing to analyze how m6A modifications and poly(A) tail dynamics influence RNA degradation kinetics and isoform-specific decay.

This study introduces SingleMod, a deep learning model for m6A modification mapping using single-molecule RNA sequencing, revealing m6A heterogeneity and species-specific distribution patterns.

This paper introduces an antibody-independent method for single-base m6A mapping, showing high reliability and conservation across species.