计算生物学
基因亚型
生物
光学(聚焦)
遗传学
基因
物理
光学
作者
Andrey D. Prjibelski,Alla Mikheenko,Anoushka Joglekar,Alexander Smetanin,Julien Jarroux,Alla Lapidus,Hagen Tilgner
标识
DOI:10.1038/s41587-022-01565-y
摘要
Annotating newly sequenced genomes and determining alternative isoforms from long-read RNA data are complex and incompletely solved problems. Here we present IsoQuant-a computational tool using intron graphs that accurately reconstructs transcripts both with and without reference genome annotation. For novel transcript discovery, IsoQuant reduces the false-positive rate fivefold and 2.5-fold for Oxford Nanopore reference-based or reference-free mode, respectively. IsoQuant also improves performance for Pacific Biosciences data.
科研通智能强力驱动
Strongly Powered by AbleSci AI