Xiaofei Carl Zang

TENNIS predicts unannotated isoforms and refines existing annotations using an evolution-based model of alternative splicing, validated by deep long-read RNA-seq.

Amaranth improves single-cell transcript assembly by discriminatively modeling UMI and internal reads, outperforming existing assemblers on Smart-seq3 datasets.

Telos improves transcript assembly by accurately detecting TSSs and TESs and ranking transcripts, outperforming existing methods across multiple RNA-seq datasets.

TERRACE improves circRNA assembly accuracy by using a splice graph and dynamic programming, outperforming existing methods in sensitivity and precision.