CHARTS: a web application for characterizing and comparing tumor subpopulations in publicly available single-cell RNA-seq data sets

BACKGROUND: Single-cell RNA-seq (scRNA-seq) enables the profiling of genome-wide gene expression at the single-cell level and in so doing facilitates insight into and information about cellular heterogeneity within a tissue. This is especially important in cancer, where tumor and tumor microenvironm...

Descripción completa

Detalles Bibliográficos
Autores principales: Bernstein, Matthew N., Ni, Zijian, Collins, Michael, Burkard, Mark E., Kendziorski, Christina, Stewart, Ron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7903756/
https://www.ncbi.nlm.nih.gov/pubmed/33622236
http://dx.doi.org/10.1186/s12859-021-04021-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7903756/
https://www.ncbi.nlm.nih.gov/pubmed/33622236
http://dx.doi.org/10.1186/s12859-021-04021-x

Ejemplares similares