- Speir, Matthew L;
- Bhaduri, Aparna;
- Markov, Nikolay S;
- Moreno, Pablo;
- Nowakowski, Tomasz J;
- Papatheodorou, Irene;
- Pollen, Alex A;
- Raney, Brian J;
- Seninge, Lucas;
- Kent, W James;
- Haeussler, Maximilian
- Editor(s): Kendziorski, Christina
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.