isoespy: アイソフォーム分解能と可視化のための統合型ロングリードトランスクリプトームワークフロー

Ko Ikemoto¹, Akihiro Fujimoto¹

¹Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.

Bioinformatics advances

|February 27, 2026

要旨

Summary:

Long-read RNA-seq uncovers complex transcriptome diversity, opening new avenues for isoform-level expression analysis. Nevertheless, the functional diversity of individual isoforms is still poorly understood. We introduce isoespy, an analysis pipeline for integrating isoform structures, differential expression, and functional annotations from long-read RNA-seq data. The workflow integrates third-party open reading frame predictors, juxtaposes isoform expression levels with gene models, and visualizes positional and non-positional user-provided features. We applied isoespy to a transcriptome dataset of hepatocellular carcinoma, identifying differences in isoform usage and predicted protein function. isoespy facilitates the interpretation of transcriptomic complexity through integrated structural and functional visualization.

Availability And Implementation:

Isoespy is freely available at https://github.com/kolikem/isoespy.

キーワード:

isoespy ロングリードRNAシーケンシングトランスクリプトームアイソフォーム分解能バイオインフォマティクス肝細胞がん

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