bioRxiv (Cold Spring Harbor Laboratory) · 2020 · 53 citations · 18 references
Life SciencesBioinformaticsMolecular BiologyGene ExpressionSpatial AnalysisTranscriptomicsGene Expression DynamicsSpatial Change DetectionSpatial Gene ExpressionSpatial Statistical ModelingSpatial TranscriptomicsTrajectory InferenceSpatial Gene Expression AnalysisSpatial Gene Expression MappingSpatial Transcriptome ReconstructionSpatially Resolved TranscriptomicsSpatiotemporal TranscriptomicsTransient Gene Expression
Abstract Spatial transcriptomic is a technology to provide deep transcriptomic profiling by preserving the spatial organization. Here, we present a framework for SPAtial Transcriptomic Analysis (SPATA, https://themilolab.github.io/SPATA ), to provide a comprehensive characterization of spatially resolved gene expression, regional adaptation of transcriptional programs and transient dynamics along spatial trajectories.
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