Print Email Facebook Twitter A guide to the BRAIN Initiative Cell Census Network data ecosystem Title A guide to the BRAIN Initiative Cell Census Network data ecosystem Author Hawrylycz, Michael (Allen Institute for Brain Science) Martone, Maryann E. (San Francisco Veterans Affairs Medical Center; University of California) Ascoli, Giorgio A. (George Mason University) Bjaalie, Jan G. (Universitetet i Oslo) Dong, Hong Wei (UCLA School of Medicine) Ghosh, Satrajit S. (Massachusetts Institute of Technology) Gillis, Jesse (University of Toronto) Haynor, David R. (University of Washington) Lelieveldt, B.P.F. (TU Delft Pattern Recognition and Bioinformatics; Leiden University Medical Center) Date 2023 Abstract Characterizing cellular diversity at different levels of biological organization and across AU data: Ple modalities is a prerequisite to understanding the function of cell types in the brain. Classification of neurons is also essential to manipulate cell types in controlled ways and to understand their variation and vulnerability in brain disorders. The BRAIN Initiative Cell Census Network (BICCN) is an integrated network of data-generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman primate (NHP) brains. Here, we provide a guide to the cellular and spatial approaches employed by the BICCN, and to accessing and using these data and extensive resources, including the BRAIN Cell Data Center (BCDC), which serves to manage and integrate data across the ecosystem. We illustrate the power of the BICCN data ecosystem through vignettes highlighting several BICCN analysis and visualization tools. Finally, we present emerging standards that have been developed or adopted toward Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience. The combined BICCN ecosystem provides a comprehensive resource for the exploration and analysis of cell types in the brain. To reference this document use: http://resolver.tudelft.nl/uuid:61112259-48f6-439a-b3b1-dabeeb60f488 DOI https://doi.org/10.1371/journal.pbio.3002133 ISSN 1544-9173 Source PLoS Biology (Print), 21 (6) Part of collection Institutional Repository Document type journal article Rights © 2023 Michael Hawrylycz, Maryann E. Martone, Giorgio A. Ascoli, Jan G. Bjaalie, Hong Wei Dong, Satrajit S. Ghosh, Jesse Gillis, David R. Haynor, B.P.F. Lelieveldt, More Authors Files PDF journal.pbio.3002133.pdf 4.55 MB Close viewer /islandora/object/uuid:61112259-48f6-439a-b3b1-dabeeb60f488/datastream/OBJ/view