UCSC Cell Browser: Visualize Your Single-Cell Data

Speir, M. L.; Bhaduri, A.; Markov, N. S.; Moreno, P.; Nowakowski, T. J.; Papatheodorou, I.; Pollen, A. A.; Seninge, L.; Kent, W. J.; Haeussler, M.

doi:10.1101/2020.10.30.361162

bioRxiv · 10.1101/2020.10.30.361162

UCSC Cell Browser: Visualize Your Single-Cell Data

Speir, M. L.·Bhaduri, A.·Markov, N. S.·Moreno, P.·Nowakowski, T. J.·Papatheodorou, I.·Pollen, A. A.·Seninge, L.·Kent, W. J.·Haeussler, M.

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Abstract

SummaryAs 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 implementationWe provide the UCSC Cell Browser as a free website where users 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. Contactcells@ucsc.edu

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Speir, M. L., Bhaduri, A., Markov, N. S., Moreno, P., Nowakowski, T. J., Papatheodorou, I., Pollen, A. A., Seninge, L., Kent, W. J., Haeussler, M.. 2020-10-31. UCSC Cell Browser: Visualize Your Single-Cell Data. https://doi.org/10.1101/2020.10.30.361162

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