Key points are not available for this paper at this time.
SUMMARY: As the use of single-cell technologies has grown, so has the need for tools to explore these large, complicated datasets. The UCSC Cell Browser is a tool that allows scientists to visualize gene expression and metadata annotation distribution throughout a single-cell dataset or multiple datasets. AVAILABILITY AND IMPLEMENTATION: We provide the UCSC Cell Browser as a free website where scientists can explore a growing collection of single-cell datasets and a freely available python package for scientists to create stable, self-contained visualizations for their own single-cell datasets. Learn more at https://cells.ucsc.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Building similarity graph...
Analyzing shared references across papers
Loading...
Matthew L Speir
Aparna Bhaduri
Nikolay S. Markov
Bioinformatics
University of California, Los Angeles
University of California, San Francisco
Northwestern University
Building similarity graph...
Analyzing shared references across papers
Loading...
Speir et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69f8a330461bb4a668f758ff — DOI: https://doi.org/10.1093/bioinformatics/btab503