LIQA: long-read isoform quantification and analysis

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Abstract

Long-read RNA sequencing (RNA-seq) technologies can sequence full-length transcripts, facilitating the exploration of isoform-specific gene expression over short-read RNA-seq. We present LIQA to quantify isoform expression and detect differential alternative splicing (DAS) events using long-read direct mRNA sequencing or cDNA sequencing data. LIQA incorporates base pair quality score and isoform-specific read length information in a survival model to assign different weights across reads, and uses an expectation-maximization algorithm for parameter estimation. We apply LIQA to long-read RNA-seq data from the Universal Human Reference, acute myeloid leukemia, and esophageal squamous epithelial cells and demonstrate its high accuracy in profiling alternative splicing events.

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Hu, Y., Fang, L., Chen, X., Zhong, J. F., Li, M., & Wang, K. (2021). LIQA: long-read isoform quantification and analysis. Genome Biology, 22(1). https://doi.org/10.1186/s13059-021-02399-8

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