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SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor
SUMMARY: SpatialExperiment is a new data infrastructure for storing and accessing spatially-resolved transcriptomics data, implemented within the R/Bioconductor framework, which provides advantages of modularity, interoperability, standardized operations and comprehensive documentation. Here, we dem...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154247/ https://www.ncbi.nlm.nih.gov/pubmed/35482478 http://dx.doi.org/10.1093/bioinformatics/btac299 |
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author | Righelli, Dario Weber, Lukas M Crowell, Helena L Pardo, Brenda Collado-Torres, Leonardo Ghazanfar, Shila Lun, Aaron T L Hicks, Stephanie C Risso, Davide |
author_facet | Righelli, Dario Weber, Lukas M Crowell, Helena L Pardo, Brenda Collado-Torres, Leonardo Ghazanfar, Shila Lun, Aaron T L Hicks, Stephanie C Risso, Davide |
author_sort | Righelli, Dario |
collection | PubMed |
description | SUMMARY: SpatialExperiment is a new data infrastructure for storing and accessing spatially-resolved transcriptomics data, implemented within the R/Bioconductor framework, which provides advantages of modularity, interoperability, standardized operations and comprehensive documentation. Here, we demonstrate the structure and user interface with examples from the 10x Genomics Visium and seqFISH platforms, and provide access to example datasets and visualization tools in the STexampleData, TENxVisiumData and ggspavis packages. AVAILABILITY AND IMPLEMENTATION: The SpatialExperiment, STexampleData, TENxVisiumData and ggspavis packages are available from Bioconductor. The package versions described in this manuscript are available in Bioconductor version 3.15 onwards. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9154247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91542472022-06-04 SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor Righelli, Dario Weber, Lukas M Crowell, Helena L Pardo, Brenda Collado-Torres, Leonardo Ghazanfar, Shila Lun, Aaron T L Hicks, Stephanie C Risso, Davide Bioinformatics Applications Notes SUMMARY: SpatialExperiment is a new data infrastructure for storing and accessing spatially-resolved transcriptomics data, implemented within the R/Bioconductor framework, which provides advantages of modularity, interoperability, standardized operations and comprehensive documentation. Here, we demonstrate the structure and user interface with examples from the 10x Genomics Visium and seqFISH platforms, and provide access to example datasets and visualization tools in the STexampleData, TENxVisiumData and ggspavis packages. AVAILABILITY AND IMPLEMENTATION: The SpatialExperiment, STexampleData, TENxVisiumData and ggspavis packages are available from Bioconductor. The package versions described in this manuscript are available in Bioconductor version 3.15 onwards. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-04-28 /pmc/articles/PMC9154247/ /pubmed/35482478 http://dx.doi.org/10.1093/bioinformatics/btac299 Text en © The Author(s) 2022. 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 Righelli, Dario Weber, Lukas M Crowell, Helena L Pardo, Brenda Collado-Torres, Leonardo Ghazanfar, Shila Lun, Aaron T L Hicks, Stephanie C Risso, Davide SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor |
title | SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor |
title_full | SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor |
title_fullStr | SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor |
title_full_unstemmed | SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor |
title_short | SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor |
title_sort | spatialexperiment: infrastructure for spatially-resolved transcriptomics data in r using bioconductor |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154247/ https://www.ncbi.nlm.nih.gov/pubmed/35482478 http://dx.doi.org/10.1093/bioinformatics/btac299 |
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