Analyzing Spatial Transcriptomics Data Using Giotto.
Analyzing Spatial Transcriptomics Data Using Giotto.
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DOI：
10.1002/cpz1.405
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发表时间：
2022-04
期刊：
影响因子：
--
通讯作者：
Dries, Ruben
中科院分区：
文献类型：
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作者：
Del Rossi, Natalie;Chen, Jiaji G;Yuan, Guo-Cheng;Dries, Ruben
空间转录组学技术近年来发展迅速。将空间背景添加到表达数据中有可能彻底改变生物学中的许多领域。然而，缺乏计算工具仍然是阻碍更广泛地利用这些技术的瓶颈。最近，我们开发了Giotto作为一个全面的，普遍适用的，用户友好的空间转录组数据分析和可视化工具箱。Giotto实现了一套丰富的算法，以实现强大的空间数据分析。为了帮助用户熟悉Giotto环境，并有效地将其应用于分析新数据集，我们将描述在没有任何高级编程技能的情况下应用Giotto的详细协议。
Spatial transcriptomic technologies have been developed rapidly in recent years. The addition of spatial context to expression data holds the potential to revolutionize many fields in biology. However, the lack of computational tools remains a bottleneck that is preventing the broader utilization of these technologies. Recently, we have developed Giotto as a comprehensive, generally-applicable, and user-friendly toolbox for spatial transcriptomic data analysis and visualization. Giotto implements a rich set of algorithms to enable robust spatial data analysis. To help users get familiar with the Giotto environment and apply it effectively in analyzing new datasets, we will describe the detailed protocols for applying Giotto without any advanced programming skills.