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UCSC Cell Browser: visualize your single-cell data
Matthew L Speir1, Aparna Bhaduri2, Nikolay S Markov3
1Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Bioinformatics (Oxford, England)
|July 10, 2021
Summary
The UCSC Cell Browser offers a free website and Python package for scientists to visualize and explore complex single-cell gene expression data. This tool aids in understanding large single-cell datasets.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- The increasing volume and complexity of single-cell data necessitate advanced analytical tools.
- Effective visualization is crucial for interpreting gene expression patterns and metadata in single-cell studies.
Purpose of the Study:
- To introduce the UCSC Cell Browser, a tool designed for exploring large single-cell datasets.
- To provide scientists with accessible resources for single-cell data visualization and analysis.
Main Methods:
- Development of a free website for exploring curated single-cell datasets.
- Creation of a freely available Python package for generating custom single-cell visualizations.
Main Results:
- The UCSC Cell Browser facilitates the visualization of gene expression and metadata across single-cell datasets.
- The platform supports the exploration of both individual and multiple single-cell datasets.
Conclusions:
- The UCSC Cell Browser serves as a valuable, free resource for the scientific community.
- The tool empowers researchers to analyze and interpret complex single-cell genomics data more effectively.
