Optimizing expression quantitative trait locus mapping workflows for single-cell studies

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantification of gene expression specific to cell types and states. With the cost of scRNA-seq decreasing and techniques for sample multiplexing improving, population-scale scRNA-seq, and thus single-cell e...

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Detalles Bibliográficos
Autores principales: Cuomo, Anna S. E., Alvari, Giordano, Azodi, Christina B., McCarthy, Davis J., Bonder, Marc Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223300/
https://www.ncbi.nlm.nih.gov/pubmed/34167583
http://dx.doi.org/10.1186/s13059-021-02407-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223300/
https://www.ncbi.nlm.nih.gov/pubmed/34167583
http://dx.doi.org/10.1186/s13059-021-02407-x

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