UCSC Cell Browser: visualize your single-cell data

Abstract 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 mult...

Full description

Saved in:
Bibliographic Details
Published inBioinformatics Vol. 37; no. 23; pp. 4578 - 4580
Main Authors 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
Format Journal Article
LanguageEnglish
Published England Oxford University Press 07.12.2021
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Abstract 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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1367-4803
1367-4811
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btab503