Journal
BIOINFORMATICS
Volume 37, Issue 23, Pages 4578-4580Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btab503
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Funding
- National Human Genome Research Institute [5U41HG002371, 1U41HG010972, 5R01HG010329]
- National Institutes of Health [U01MH114825, K99 NS111731, RF1MH121268]
- National Institutes of Mental Health [DP2MH122400]
- Silicon Valley Community Foundation [2017-171531(5022)]
- California Institute for Regenerative Medicine [GC1R-06673-C, GC1R-06673-B]
- University of California Office of the President Emergency COVID-19 Research Seed Funding [R00RG2456]
- Chan Zuckerberg Initiative Foundation [CZF2019-002438, 2018-183498, 2018-182800]
- Simons Foundation [SFARI 491371]
- Brain and Behavior Research Foundation
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The use of single-cell technologies has led to the need for tools to explore large and complex datasets, and the UCSC Cell Browser is a tool that allows scientists to visualize gene expression and metadata annotation distribution across single-cell datasets or multiple datasets.
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.
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