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A ratio-based framework using Quartet reference materials for integrating long- and short-read RNA-seq
December 2025 • Yang Xu, Yuanbang Mai, Shumeng Duan, Yaqing Liu, Xiaojing Li, Hu Chen
<title>Abstract</title> Long-read RNA sequencing (lrRNA-seq) enables full-length transcript profiling but is confounded by technical batch effects that compromise quantification and prevent data integration across platforms, protocols, and laboratories. The lack of a transcriptome-wide biological ground truth has hindered objective benchmarking. To address these dual challenges, we leveraged certified Quartet reference materials to generate one of the largest multi-center lrRNA-seq resources to date: over one bill…
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