Wenjia Wang

IFDlong is a tool for detecting and quantifying isoform and fusion transcripts in long-read RNA-seq data, showing high accuracy and performance in simulations and real datasets.

This study compares the AVITI and Illumina sequencing chemistries for DNA and RNA short-read and long-read sequencing, finding AVITI has higher quality scores and lower error rates in short-read applications.

This study identifies VGLUT-mediated mechanisms protecting DA neurons from PD-related degeneration, revealing sex-specific effects and transcriptional regulators.

The paper uses long-read single-cell sequencing to identify mutation-specific mRNA isoforms and fusion transcripts in liver cancer cells, improving classification of cancer versus benign cells.