Cargando…
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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |
_version_ | 1784611502387363840 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8652023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT speirmatthewl ucsccellbrowservisualizeyoursinglecelldata AT bhaduriaparna ucsccellbrowservisualizeyoursinglecelldata AT markovnikolays ucsccellbrowservisualizeyoursinglecelldata AT morenopablo ucsccellbrowservisualizeyoursinglecelldata AT nowakowskitomaszj ucsccellbrowservisualizeyoursinglecelldata AT papatheodorouirene ucsccellbrowservisualizeyoursinglecelldata AT pollenalexa ucsccellbrowservisualizeyoursinglecelldata AT raneybrianj ucsccellbrowservisualizeyoursinglecelldata AT seningelucas ucsccellbrowservisualizeyoursinglecelldata AT kentwjames ucsccellbrowservisualizeyoursinglecelldata AT haeusslermaximilian ucsccellbrowservisualizeyoursinglecelldata |