SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

Single-cell RNA-seq (scRNA-seq) profiles gene expression with high resolution. Here, we develop a stepwise computational method-called SCAPTURE to identify, evaluate, and quantify cleavage and polyadenylation sites (PASs) from 3′ tag-based scRNA-seq. SCAPTURE detects PASs de novo in single cells wit...

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Detalles Bibliográficos
Autores principales: Li, Guo-Wei, Nan, Fang, Yuan, Guo-Hua, Liu, Chu-Xiao, Liu, Xindong, Chen, Ling-Ling, Tian, Bin, Yang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353616/
https://www.ncbi.nlm.nih.gov/pubmed/34376223
http://dx.doi.org/10.1186/s13059-021-02437-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353616/
https://www.ncbi.nlm.nih.gov/pubmed/34376223
http://dx.doi.org/10.1186/s13059-021-02437-5

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