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SODB 有助于全面探索空间组学数据。

SODB facilitates comprehensive exploration of spatial omics data.

机构信息

Institute of Science and Technology for Brain-Inspired Intelligence; MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence; MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.

Tencent AI Lab, Shenzhen, China.

出版信息

Nat Methods. 2023 Mar;20(3):387-399. doi: 10.1038/s41592-023-01773-7. Epub 2023 Feb 16.

Abstract

Spatial omics technologies generate wealthy but highly complex datasets. Here we present Spatial Omics DataBase (SODB), a web-based platform providing both rich data resources and a suite of interactive data analytical modules. SODB currently maintains >2,400 experiments from >25 spatial omics technologies, which are freely accessible as a unified data format compatible with various computational packages. SODB also provides multiple interactive data analytical modules, especially a unique module, Spatial Omics View (SOView). We conduct comprehensive statistical analyses and illustrate the utility of both basic and advanced analytical modules using multiple spatial omics datasets. We demonstrate SOView utility with brain spatial transcriptomics data and recover known anatomical structures. We further delineate functional tissue domains with associated marker genes that were obscured when analyzed using previous methods. We finally show how SODB may efficiently facilitate computational method development. The SODB website is https://gene.ai.tencent.com/SpatialOmics/ . The command-line package is available at https://pysodb.readthedocs.io/en/latest/ .

摘要

空间组学技术产生了丰富但高度复杂的数据集。在这里,我们介绍了基于网络的平台 Spatial Omics DataBase (SODB),它提供了丰富的数据资源和一系列交互式数据分析模块。SODB 目前维护了来自超过 25 种空间组学技术的超过 2400 个实验,这些实验以与各种计算包兼容的统一数据格式免费提供。SODB 还提供了多个交互式数据分析模块,特别是一个独特的模块 Spatial Omics View (SOView)。我们进行了全面的统计分析,并使用多个空间组学数据集说明了基本和高级分析模块的实用性。我们使用大脑空间转录组学数据来演示 SOView 的实用性,并恢复了已知的解剖结构。我们进一步描绘了具有相关标记基因的功能组织域,这些组织域在使用以前的方法进行分析时被掩盖了。我们最后展示了 SODB 如何有效地促进计算方法的发展。SODB 网站是 https://gene.ai.tencent.com/SpatialOmics/ 。命令行包可在 https://pysodb.readthedocs.io/en/latest/ 获得。

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