Jing Li

This study shows that while genetic background shapes mutational paths to bleomycin resistance in yeast, all backgrounds converge on membrane depolarization via PMA1 and PTK2 mutations.

The paper analyzes 3562 human and animal papillomavirus genomes to uncover genomic diversity, evolutionary patterns, and pathogenicity drivers, identifying key mutations and variants associated with cancer risk and prognosis.

NanoTrans provides a comprehensive computational framework for analyzing Nanopore direct-RNA sequencing data, covering isoform clustering, poly(A) tail length estimation, RNA modification profiling, and fusion gene detection across multiple organisms.

GetPrimers is a computational tool for designing PCR-based genetic targeting primers, validated across multiple organisms and experimental setups.

This study quantifies mutation rates and spectra in yeast under rapamycin and hydroxyurea treatments, revealing distinct mutagenic effects and their impact on cell fitness.

This paper presents 142 high-quality yeast genomes to improve pangenome understanding, identifying structural variants and complex genomic regions.

RecombineX automates tetrad analysis workflows for meiotic recombination, supporting diverse organisms and genetic backgrounds with simulation and batch processing capabilities.

The paper investigates how standing and de novo genetic variants contribute to drug adaptation in yeast, finding they act on shared molecular targets but via different mechanisms.

The paper investigates how clonal heterogeneity and genetic variation influence antimicrobial resistance in yeast, showing that both pre-existing and de novo mutations contribute to fitness and adaptation.

This study compares structural genome dynamics between domesticated and wild yeasts using long-read sequencing, revealing differences in rearrangement rates and types.