Length biases in single-cell RNA sequencing of pre-mRNA

Single-cell RNA sequencing data can be modeled using Markov chains to yield genome-wide insights into transcriptional physics. However, quantitative inference with such data requires careful assessment of noise sources. We find that long pre-mRNA transcripts are over-represented in sequencing data....

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Detalles Bibliográficos
Autores principales: Gorin, Gennady, Pachter, Lior
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843228/
https://www.ncbi.nlm.nih.gov/pubmed/36660179
http://dx.doi.org/10.1016/j.bpr.2022.100097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843228/
https://www.ncbi.nlm.nih.gov/pubmed/36660179
http://dx.doi.org/10.1016/j.bpr.2022.100097

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