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Single Cell Product Manager, TileDB
Sr. Product Applications Scientist, CZI
Assistant Professor of
Pathology, UCSF
Spatial transcriptomics technologies are rapidly advancing, allowing researchers to study gene expression within its tissue context, providing new insights into cellular interactions and heterogeneity. However, the complexity of spatial omics data also presents new challenges for data management and analysis. To address these challenges, TileDB-SOMA has been extended to offer native support for spatial omics data within its scalable, cloud-native framework.
This TileDB Tech Talk will showcase TileDB-SOMA's new spatial capabilities, which have been developed in collaboration with the Chan Zuckerberg Initiative (CZI) to support the construction of the first CZI Spatial Census.
An overview of the new spatial classes, and how they are used to represent diverse spatial data types.
An introduction to the structure, organization, and available datasets within the CZI Spatial Census.
Hands-on examples demonstrating how to leverage TileDB-SOMA to efficiently retrieve data for specific spatial regions from the CZI Spatial Census.
TileDB is foundational software designed by scientists for scientific discovery. TileDB structures all data types, including data that does not fit into relational databases designed for structured tabular data. Built on a powerful shape-shifting array database, TileDB handles the complexities of non-traditional “unstructured” multimodal data, such as genomic variants, bulk and single-cell transcriptomics, proteomics and, biomedical imaging, as well as the frontier data of the future. Used by science and data teams within big pharma and biotechs to power their multiomics FAIR data platforms, TileDB is the destination for scientific breakthroughs where frontier multimodal data is driving drug discovery.
Chief Technical Officer