Lijun Zhang

This paper describes the discovery and synthesis of GS-7682, a prodrug with broad antiviral activity against RSV and other viruses, showing efficacy in RSV-infected monkeys.

imply improves cell-type deconvolution by using personalized reference panels, showing reduced bias and better alignment with biological facts in real data.

This study identifies shared genetic architecture between obesity and multiple sclerosis using GWAS summary statistics and finds 18 novel shared SNPs and genetic correlation.

This paper introduces ratio-based multiomics profiling using universal reference materials to improve data integration across omics types and batches.

The paper introduces RNA reference materials and ratio-based datasets to improve the reliability and benchmarking of transcriptomic profiling.

The paper introduces a method to infer differential richness in 16S rRNA surveys by accounting for spurious taxa generated during sequencing, using an R package called Prokounter.

This study uses microbial topic modeling to identify associations between vaginal microbiome composition and intrapartum fever in Ugandan laboring women, improving prediction beyond clinical variables.

This study identifies subtype-specific epigenomic and 3D genome structures in bladder cancer, linking NPAS2 to luminal subtype regulation and clinical outcomes.

This paper describes a method using optical genome mapping to identify somatic structural variants in solid tumors, showing high reliability and functional relevance.

This study investigates miRNA expression and zeatin dynamics during in vivo tomato regeneration, identifying key miRNAs involved in callus formation and hormone regulation.

This study evaluates optical genome mapping (OGM) for detecting genomic aberrations in AML, finding it identifies all clinically relevant SVs and CNVs and detects additional variants missed by standard methods.

The paper introduces a web-based browser for visualizing 3D genome organization and chromatin interactions, enabling integration with other omics data to study gene regulation.

This paper presents an integrative framework to detect structural variants in cancer genomes using multiple methods and finds that non-coding structural variation significantly impacts genome function in cancer cells.