A standard for sharing spatial transcriptomics data

Kayla C Jackson; Lior Pachter

doi:10.1016/j.xgen.2023.100374

A standard for sharing spatial transcriptomics data

Cell Genom. 2023 Aug 9;3(8):100374. doi: 10.1016/j.xgen.2023.100374.

Authors

Kayla C Jackson^{1

2}, Lior Pachter^{2

3}

Affiliations

¹ Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
² Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
³ Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.

Abstract

Spatial transcriptomic technologies have the potential to reveal critical relationships between the function of genes and cells and their spatial organization. Here, we provide a sharing model for spatial transcriptomics data with the aim of establishing a set of primary data and metadata needed to reproduce analyses and facilitate computational methods development.

Publication types

News