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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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