Jackson Kayla C, Pachter Lior
Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Cell Genom. 2023 Aug 9;3(8):100374. doi: 10.1016/j.xgen.2023.100374.
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.
空间转录组技术有潜力揭示基因和细胞功能与其空间组织之间的关键关系。在此,我们提供一个空间转录组学数据的共享模型,旨在建立一组用于重现分析和促进计算方法开发所需的原始数据和元数据。