RNA splicing analysis using heterogeneous and large RNA-seq datasets

The ubiquity of RNA-seq has led to many methods that use RNA-seq data to analyze variations in RNA splicing. However, available methods are not well suited for handling heterogeneous and large datasets. Such datasets scale to thousands of samples across dozens of experimental conditions, exhibit inc...

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Detalles Bibliográficos
Autores principales: Vaquero-Garcia, Jorge, Aicher, Joseph K., Jewell, San, Gazzara, Matthew R., Radens, Caleb M., Jha, Anupama, Norton, Scott S., Lahens, Nicholas F., Grant, Gregory R., Barash, Yoseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984406/
https://www.ncbi.nlm.nih.gov/pubmed/36869033
http://dx.doi.org/10.1038/s41467-023-36585-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984406/
https://www.ncbi.nlm.nih.gov/pubmed/36869033
http://dx.doi.org/10.1038/s41467-023-36585-y

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