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Accurate isoform discovery with IsoQuant using long reads

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....

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Detalles Bibliográficos
Autores principales: Prjibelski, Andrey D., Mikheenko, Alla, Joglekar, Anoushka, Smetanin, Alexander, Jarroux, Julien, Lapidus, Alla L., Tilgner, Hagen U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10344776/
https://www.ncbi.nlm.nih.gov/pubmed/36593406
http://dx.doi.org/10.1038/s41587-022-01565-y
Descripción
Sumario: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.