Automated quality control and cell identification of droplet-based single-cell data using dropkick

A major challenge for droplet-based single-cell sequencing technologies is distinguishing true cells from uninformative barcodes in data sets with disparate library sizes confounded by high technical noise (i.e., batch-specific ambient RNA). We present dropkick, a fully automated software tool for q...

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Detalles Bibliográficos
Autores principales: Heiser, Cody N., Wang, Victoria M., Chen, Bob, Hughey, Jacob J., Lau, Ken S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2021
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494217/
https://www.ncbi.nlm.nih.gov/pubmed/33837131
http://dx.doi.org/10.1101/gr.271908.120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494217/
https://www.ncbi.nlm.nih.gov/pubmed/33837131
http://dx.doi.org/10.1101/gr.271908.120

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