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UCSC Cell Browser: visualize your single-cell data

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 dat...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8652023/
https://www.ncbi.nlm.nih.gov/pubmed/34244710
http://dx.doi.org/10.1093/bioinformatics/btab503
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author 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
author_facet 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
author_sort Speir, Matthew L
collection PubMed
description 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.
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spelling pubmed-86520232021-12-08 UCSC Cell Browser: visualize your single-cell data 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 Bioinformatics Applications Notes 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. Oxford University Press 2021-07-09 /pmc/articles/PMC8652023/ /pubmed/34244710 http://dx.doi.org/10.1093/bioinformatics/btab503 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
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
UCSC Cell Browser: visualize your single-cell data
title UCSC Cell Browser: visualize your single-cell data
title_full UCSC Cell Browser: visualize your single-cell data
title_fullStr UCSC Cell Browser: visualize your single-cell data
title_full_unstemmed UCSC Cell Browser: visualize your single-cell data
title_short UCSC Cell Browser: visualize your single-cell data
title_sort ucsc cell browser: visualize your single-cell data
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8652023/
https://www.ncbi.nlm.nih.gov/pubmed/34244710
http://dx.doi.org/10.1093/bioinformatics/btab503
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