saseR:,使,,RNA-seq

Alexandre Segers1,2,3, Jeroen Gilis1,4,5, Mattias Van Heetvelde2,3

  • 1Department of Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.

Genome biology
|February 19, 2026
PubMed
まとめ

この研究は,RNA-seq分析のための新しい枠組みを導入し,微分トランスクリプトの使用とスプライシング検出を強化します. 新しい saseR ツールは,大規模なデータセットにおける表現と使用の異常値を特定するための優れた速度と正確性を提供します.

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