A standard for sharing spatial transcriptomics data
Kayla Jackson, Lior Pachter
Abstract
Spatial transcriptomic technologies have the potential to reveal critical relationships between the function of genes and cells and their spatial organization. Here, we provide a sharing model for spatial transcriptomics data with the aim of establishing a set of primary data and metadata needed to reproduce analyses and facilitate computational methods development.
Topics & Concepts
MetadataTranscriptomeSpatial analysisComputer scienceFunction (biology)Set (abstract data type)Data sharingData setData miningData scienceWorld Wide WebBiologyGeographyGeneArtificial intelligenceEvolutionary biologyGene expressionMedicinePathologyAlternative medicineRemote sensingBiochemistryProgramming languageSingle-cell and spatial transcriptomicsCell Image Analysis TechniquesGene expression and cancer classification