Comprehensive generation, visualization, and reporting of quality control metrics for single-cell RNA sequencing data

Single-cell RNA sequencing (scRNA-seq) can be used to gain insights into cellular heterogeneity within complex tissues. However, various technical artifacts can be present in scRNA-seq data and should be assessed before performing downstream analyses. While several tools have been developed to perfo...

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Detalles Bibliográficos
Autores principales: Hong, Rui, Koga, Yusuke, Bandyadka, Shruthi, Leshchyk, Anastasia, Wang, Yichen, Akavoor, Vidya, Cao, Xinyun, Sarfraz, Irzam, Wang, Zhe, Alabdullatif, Salam, Jansen, Frederick, Yajima, Masanao, Johnson, W. Evan, Campbell, Joshua D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967915/
https://www.ncbi.nlm.nih.gov/pubmed/35354805
http://dx.doi.org/10.1038/s41467-022-29212-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967915/
https://www.ncbi.nlm.nih.gov/pubmed/35354805
http://dx.doi.org/10.1038/s41467-022-29212-9

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