1. UCSC Cell Browser: visualize your single-cell data
- Author
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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, and Haeussler, Maximilian
- Subjects
Biological Sciences ,Bioinformatics and Computational Biology ,Networking and Information Technology R&D (NITRD) ,Genetics ,Biotechnology ,Bioengineering ,Generic health relevance ,Genomics ,Software ,Databases ,Genetic ,Metadata ,Mathematical Sciences ,Information and Computing Sciences ,Bioinformatics ,Biological sciences ,Information and computing sciences ,Mathematical sciences - 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 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 informationSupplementary data are available at Bioinformatics online.
- Published
- 2021