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SpatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data.


ABSTRACT:

Background

Spatially-resolved transcriptomics has now enabled the quantification of high-throughput and transcriptome-wide gene expression in intact tissue while also retaining the spatial coordinates. Incorporating the precise spatial mapping of gene activity advances our understanding of intact tissue-specific biological processes. In order to interpret these novel spatial data types, interactive visualization tools are necessary.

Results

We describe spatialLIBD, an R/Bioconductor package to interactively explore spatially-resolved transcriptomics data generated with the 10x Genomics Visium platform. The package contains functions to interactively access, visualize, and inspect the observed spatial gene expression data and data-driven clusters identified with supervised or unsupervised analyses, either on the user's computer or through a web application.

Conclusions

spatialLIBD is available at https://bioconductor.org/packages/spatialLIBD . It is fully compatible with SpatialExperiment and the Bioconductor ecosystem. Its functionality facilitates analyzing and interactively exploring spatially-resolved data from the Visium platform.

SUBMITTER: Pardo B 

PROVIDER: S-EPMC9188087 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data.

Pardo Brenda B   Spangler Abby A   Weber Lukas M LM   Page Stephanie C SC   Hicks Stephanie C SC   Jaffe Andrew E AE   Martinowich Keri K   Maynard Kristen R KR   Collado-Torres Leonardo L  

BMC genomics 20220610 1


<h4>Background</h4>Spatially-resolved transcriptomics has now enabled the quantification of high-throughput and transcriptome-wide gene expression in intact tissue while also retaining the spatial coordinates. Incorporating the precise spatial mapping of gene activity advances our understanding of intact tissue-specific biological processes. In order to interpret these novel spatial data types, interactive visualization tools are necessary.<h4>Results</h4>We describe spatialLIBD, an R/Bioconduct  ...[more]

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