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iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data
SUMMARY: Interactive platform for single-cell RNA-sequencing (iS-CellR) is a web-based Shiny application that is designed to provide user-friendly, comprehensive analysis of single-cell RNA sequencing data. iS-CellR has the capability to run on any modern web browser and provides an accessible graph...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289135/ https://www.ncbi.nlm.nih.gov/pubmed/29982379 http://dx.doi.org/10.1093/bioinformatics/bty517 |
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author | Patel, Mitulkumar V |
author_facet | Patel, Mitulkumar V |
author_sort | Patel, Mitulkumar V |
collection | PubMed |
description | SUMMARY: Interactive platform for single-cell RNA-sequencing (iS-CellR) is a web-based Shiny application that is designed to provide user-friendly, comprehensive analysis of single-cell RNA sequencing data. iS-CellR has the capability to run on any modern web browser and provides an accessible graphical user interface that enables the user to perform complex single-cell RNA-sequencing analysis without requiring programming skills. AVAILABILITY AND IMPLEMENTATION: iS-CellR is open source and available through GitHub at https://github.com/immcore/iS-CellR. iS-CellR is implemented in Docker and can be launched on any operating system with Docker installed. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6289135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62891352018-12-14 iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data Patel, Mitulkumar V Bioinformatics Applications Notes SUMMARY: Interactive platform for single-cell RNA-sequencing (iS-CellR) is a web-based Shiny application that is designed to provide user-friendly, comprehensive analysis of single-cell RNA sequencing data. iS-CellR has the capability to run on any modern web browser and provides an accessible graphical user interface that enables the user to perform complex single-cell RNA-sequencing analysis without requiring programming skills. AVAILABILITY AND IMPLEMENTATION: iS-CellR is open source and available through GitHub at https://github.com/immcore/iS-CellR. iS-CellR is implemented in Docker and can be launched on any operating system with Docker installed. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-12-15 2018-07-04 /pmc/articles/PMC6289135/ /pubmed/29982379 http://dx.doi.org/10.1093/bioinformatics/bty517 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://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 Patel, Mitulkumar V iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data |
title | iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data |
title_full | iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data |
title_fullStr | iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data |
title_full_unstemmed | iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data |
title_short | iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data |
title_sort | is-cellr: a user-friendly tool for analyzing and visualizing single-cell rna sequencing data |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289135/ https://www.ncbi.nlm.nih.gov/pubmed/29982379 http://dx.doi.org/10.1093/bioinformatics/bty517 |
work_keys_str_mv | AT patelmitulkumarv iscellrauserfriendlytoolforanalyzingandvisualizingsinglecellrnasequencingdata |