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Lattice : Human Cell Atlas

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Lattice: Powering data sharing and exploration in the Human Cell Atlas

Lattice Wheel

Lattice serves as the central hub for the Chan Zuckerberg Initiative's (CZI) Seed Networks, Pediatric Networks, and Ancestry Networks, all contributing to the Human Cell Atlas consortium. Their primary function is to collaborate with researchers in meticulously representing sample acquisition, experimental procedures, and data processing steps through structured metadata. This involves meticulously collecting and organizing metadata, raw data, and analysis outputs into the Lattice database, facilitating data sharing within and across networks prior to public release.

The Lattice team is dedicated to maximizing the accessibility and utility of data from these networks. Through focused efforts on improving findability and potential for reuse, they ensure the data's value is maximized. Collaboration with other single-cell data centers enables the transfer of standardized data from the Lattice database to open resources, facilitating seamless integration with community tools and broader data collections.

Furthermore, Lattice plays a crucial role in developing a cell-based schema in collaboration with CELLxGENE developers and computational biologists at the Chan Zuckerberg Initiative. This schema ensures consistency and reliability by standardizing key biological and technical variables relevant to single-cell data.

In addition, Lattice actively promotes data submission, encouraging the sharing and exploration of individual datasets. Their efforts ensure a harmonized data corpus, readily searchable, filterable, and integrated for efficient utilization.

Through these initiatives, Lattice empowers researchers within the Human Cell Atlas consortium, fostering collaboration and accelerating scientific progress in our understanding of human health and disease.

For more information about Lattice and their contributions, visit lattice-data.org or reach out to the team at lattice-info@lists.stanford.edu.

CZI Single-cell Biology