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Interfacing Seurat with the R tidy universe
MOTIVATION: Seurat is one of the most popular software suites for the analysis of single-cell RNA sequencing data. Considering the popularity of the tidyverse ecosystem, which offers a large set of data display, query, manipulation, integration and visualization utilities, a great opportunity exists...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502154/ https://www.ncbi.nlm.nih.gov/pubmed/34028547 http://dx.doi.org/10.1093/bioinformatics/btab404 |
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author | Mangiola, Stefano Doyle, Maria A Papenfuss, Anthony T |
author_facet | Mangiola, Stefano Doyle, Maria A Papenfuss, Anthony T |
author_sort | Mangiola, Stefano |
collection | PubMed |
description | MOTIVATION: Seurat is one of the most popular software suites for the analysis of single-cell RNA sequencing data. Considering the popularity of the tidyverse ecosystem, which offers a large set of data display, query, manipulation, integration and visualization utilities, a great opportunity exists to interface the Seurat object with the tidyverse. This interface gives the large data science community of tidyverse users the possibility to operate with familiar grammar. RESULTS: To provide Seurat with a tidyverse-oriented interface without compromising efficiency, we developed tidyseurat, a lightweight adapter to the tidyverse. Tidyseurat displays cell information as a tibble abstraction, allowing intuitively interfacing Seurat with dplyr, tidyr, ggplot2 and plotly packages powering efficient data manipulation, integration and visualization. Iterative analyses on data subsets are enabled by interfacing with the popular nest-map framework. AVAILABILITY AND IMPLEMENTATION: The software is freely available at cran.r-project.org/web/packages/tidyseurat and github.com/stemangiola/tidyseurat. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9502154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-95021542022-09-26 Interfacing Seurat with the R tidy universe Mangiola, Stefano Doyle, Maria A Papenfuss, Anthony T Bioinformatics Original Papers MOTIVATION: Seurat is one of the most popular software suites for the analysis of single-cell RNA sequencing data. Considering the popularity of the tidyverse ecosystem, which offers a large set of data display, query, manipulation, integration and visualization utilities, a great opportunity exists to interface the Seurat object with the tidyverse. This interface gives the large data science community of tidyverse users the possibility to operate with familiar grammar. RESULTS: To provide Seurat with a tidyverse-oriented interface without compromising efficiency, we developed tidyseurat, a lightweight adapter to the tidyverse. Tidyseurat displays cell information as a tibble abstraction, allowing intuitively interfacing Seurat with dplyr, tidyr, ggplot2 and plotly packages powering efficient data manipulation, integration and visualization. Iterative analyses on data subsets are enabled by interfacing with the popular nest-map framework. AVAILABILITY AND IMPLEMENTATION: The software is freely available at cran.r-project.org/web/packages/tidyseurat and github.com/stemangiola/tidyseurat. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-05-24 /pmc/articles/PMC9502154/ /pubmed/34028547 http://dx.doi.org/10.1093/bioinformatics/btab404 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 | Original Papers Mangiola, Stefano Doyle, Maria A Papenfuss, Anthony T Interfacing Seurat with the R tidy universe |
title | Interfacing Seurat with the R tidy universe |
title_full | Interfacing Seurat with the R tidy universe |
title_fullStr | Interfacing Seurat with the R tidy universe |
title_full_unstemmed | Interfacing Seurat with the R tidy universe |
title_short | Interfacing Seurat with the R tidy universe |
title_sort | interfacing seurat with the r tidy universe |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502154/ https://www.ncbi.nlm.nih.gov/pubmed/34028547 http://dx.doi.org/10.1093/bioinformatics/btab404 |
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