Andre Sim

This study benchmarks Nanopore long read RNA sequencing in human cell lines, showing improved isoform resolution compared to short reads.

Bambu-Clump improves transcript discovery and quantification from single-cell and spatial long-read RNA-seq data by leveraging cell and cluster information.

This paper introduces CFC-seq and SALA to sequence non-poly(A) RNAs, identifies 39,425 novel transcriptional units, and reveals a genomic code governing enhancer RNA fate based on promoter architecture.

Benchmarking six long-read RNA-seq protocol-platform combinations and 14 tools across human, mouse, and manatee shows read length and accuracy drive isoform detection, depth drives quantification.

Bambu improves transcript quantification from long-read RNA-Seq by using context-aware annotations, enhancing precision without sacrificing sensitivity.