Sierra: discovery of differential transcript usage from polyA-captured single-cell RNA-seq data

High-throughput single-cell RNA-seq (scRNA-seq) is a powerful tool for studying gene expression in single cells. Most current scRNA-seq bioinformatics tools focus on analysing overall expression levels, largely ignoring alternative mRNA isoform expression. We present a computational pipeline, Sierra...

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Detalles Bibliográficos
Autores principales: Patrick, Ralph, Humphreys, David T., Janbandhu, Vaibhao, Oshlack, Alicia, Ho, Joshua W.K., Harvey, Richard P., Lo, Kitty K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341584/
https://www.ncbi.nlm.nih.gov/pubmed/32641141
http://dx.doi.org/10.1186/s13059-020-02071-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341584/
https://www.ncbi.nlm.nih.gov/pubmed/32641141
http://dx.doi.org/10.1186/s13059-020-02071-7

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