Pablo Garcia-Nieto
Computational biologist at CZI focusing on providing access to all single-cell data hosted on CZ CELLxGENE (https://cellxgene.cziscience.com/). Ph.D. on cellular and molecular biology from Stanford University, and BSc in genomics from the Autonomous National University of Mexico
Sessions
CZ CELxGENE Discover has released all of its human and mouse single-cell data through a new API that allows for efficient and low-latency querying. The data is fully standardized, hosted publicly and it is composed by a count matrix of 50 mi cells (observations) by >60 k genes (features) accompanied by cell and gene metadata. While these data are built from more than 700 datasets, the API enables convenient cell- and gene-based filtering to obtain any slice of interest in a matter of seconds. All data can be quickly transformed to numpy, pandas, anndata or Seurat objects.