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

Brenda Pardo, Abby Spangler, Lukas M. Weber, Stephanie C. Page, Stephanie C. Hicks, Andrew E. Jaffe, Keri Martinowich, Kristen R. Maynard, Leonardo Collado‐Torres

2022BMC Genomics165 citationsDOIOpen Access PDF

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.

Topics & Concepts

BioconductorVisualizationR packageComputer scienceTranscriptomeComputational biologyData miningBiologyGeneGene expressionGeneticsComputational scienceSingle-cell and spatial transcriptomicsGene expression and cancer classificationCell Image Analysis Techniques
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