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Vizgen's Interactive Single-Cell Spatial Visualizer enables users to explore single-cell gene expression data from our MERFISH Mouse Brain Receptor Map. Cells can be visualized using a UMAP embedding or the spatial coordinates within the brain - providing a detailed spatial map of the tissue.
The Institute for Systems Biology Covid19 Atlas provides insights into how the immune system responds with disease progression. The website features single-cell multi-omics time-series data as well as clinical annotations on more than 400 patients.
Understanding the trajectory of a developing human requires understanding of how genes are regulated and expressed. The Descartes Human Cell Atlases features the largest single cell dataset generated to date. It contains data on ~5 million individual cells that when analyzed provides a comprehensive atlas of early human development.
Viv is a library for multiscale visualization of high-resolution, highly multiplexed bioimaging data on the web. It directly renders data in Bio-Formats-compatible Zarr and OME-TIFF formats. Avivator is a lightweight image viewer that showcases the capabilities of Viv. The development of Viv and Avivator was supported with funding from the National Institutes of Health and Harvard University.
Flowmap.blue is a free tool for representing aggregated numbers of movements between geographic locations as flow maps. It is used to visualize urban mobility, commuting behavior, bus, subway and air travels, bicycle sharing, human and bird migration, refugee flows, freight transportation, trade, supply chains, scientific collaboration, epidemiological and historical data and many other topics.