Transformation of alignment files improves performance of variant callers for long-read RNA sequencing data.

de Souza, Vladimir B C; Jordan, Ben T; Tseng, Elizabeth; Nelson, Elizabeth A; Hirschi, Karen K; Sheynkman, Gloria; Robinson, Mark D

de Souza, Vladimir B C; Jordan, Ben T; Tseng, Elizabeth; Nelson, Elizabeth A; Hirschi, Karen K; Sheynkman, Gloria; Robinson, Mark D.

Afiliación

de Souza VBC; Department of Molecular Life Sciences and SIB Swiss Institute of Bioinformatics, University of Zurich, 8057, Zurich, Switzerland.
Jordan BT; Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA.
Tseng E; PacBio, San Francisco, USA.
Nelson EA; Department of Cell Biology and Cardiovascular Research Center, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA.
Hirschi KK; Department of Cell Biology and Cardiovascular Research Center, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA.
Sheynkman G; Department of Medicine, Yale University School of Medicine, New Haven, CT, 06511, USA.
Robinson MD; Department of Genetics, Yale University School of Medicine, New Haven, CT, 06511, USA.

Genome Biol ; 24(1): 91, 2023 04 24.

Article en En | MEDLINE | ID: mdl-37095564

Asunto(s)

Secuenciación de Nucleótidos de Alto Rendimiento; ARN; Análisis de Secuencia de ARN; RNA-Seq; Secuenciación del Exoma

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ARN / Secuenciación de Nucleótidos de Alto Rendimiento Idioma: En Revista: Genome Biol Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2023 Tipo del documento: Article País de afiliación: Suiza

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