BMC Genomics · 2022 · 165 citations · 12 references
ComputingBioinformaticsVisualizationData VisualizationInteractive VisualizationTranscriptomicsCluster VisualizationHigh-dimensional Data VisualizationSpatial Data VisualizationSpatial Gene ExpressionSpatial TranscriptomicsVisual Analytics For Scientific DataInteractive Visualization ToolsSpatial Data TypesSpatial Gene Expression AnalysisSpatial Gene Expression MappingSpatial Gene Expression PatternsSpatial Gene Expression ProfilingSpatially Resolved Gene Expression AnalysisSpatially Resolved Transcriptomics
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.
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