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

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...

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Bibliographic Details
Main Authors: Bernstein, M.N (Author), Burkard, M.E (Author), Collins, M. (Author), Kendziorski, C. (Author), Ni, Z. (Author), Stewart, R. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Cancer data sets
Cytology
Differentially expressed gene
Diseases
Drug resistance
Gene expression
gene expression profiling
Gene Expression Profiling
genetics
Graphic methods
human
Humans
neoplasm
Neoplasms
RNA
RNA-Seq
RNA-Seq datum
sequence analysis
Sequence Analysis, RNA
single cell analysis
Single-Cell Analysis
Single-cell level
software
Software
tumor microenvironment
Tumor microenvironment
Tumor Microenvironment
Tumor progressions
Tumors
WEB application
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Internet

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