The overarching goal of the BRAIN Initiative Cell Census Network (BICCN) is to build a compendium of data on brain cell types, integrating molecular, anatomical, and functional data for describing cell types in mouse, human, and non-human primate brains. The BICCN seeks broad and rapid data dissemination and use by the entire scientific community to accelerate scientific exploration and to reap the maximum value from this project. All data produced from mouse, non-human primate, and open-access consented human brain samples will be available for unrestricted access and use immediately upon release to public databases. Sequence-level data for human samples consented with restrictions will be made available through an approval process in conjunction with NIMH Data Archive and NeMO archive.
The Cell Registry (below) is a searchable table of datasets generated by the BICCN. This table includes links to data directories at the data archives and links to protocols. Primary data is available from the Brain Image Library (BIL) at the Pittsburgh Supercomputing Center, which hosts imaging data, the Neuroscience Multi-Omic Archive (NeMO) at University of Maryland which hosts transcriptomic and epigenomic data, and DANDI: Distributed Archives for Neurophysiology Data Integration, a web platform for scientists to share, collaborate, and process data from cellular neurophysiology experiments.
The Transcriptomics Explorer enables researchers to visualize and analyze transcriptomics data and transcriptomic cell types for mouse and human, all directly in a web browser. The datasets now made available for visualization and analysis include data generated under the U19 Zeng and U01 Lein BICCN grants.