Dissociated transcriptional profiling of single cells has advanced our knowledge of the molecular basis of development. Novel spatial transcriptomics technologies, such as seqFISH, enable sensitive detection of RNA molecules in their native spatial context. However, this represents an analytical challenge as biologically relevant information may need to be extracted at the order of individual molecules, cells or tissues across entire organisms. This talk will describe the current state of play for analysis of such spatial omics datasets, and explore some emerging approaches for addressing these analytical challenges. A key example is the problem of mosaic data integration stemming from extraction of spatial -omics features in conjunction with data from dissociated single cell -omics technologies.