Sodb facilitates comprehensive exploration of spatial omics data
Sodb facilitates comprehensive exploration of spatial omics data"
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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/. Access through your institution Buy or subscribe This is a preview of subscription content, access via your institution
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FAQs * Contact customer support SIMILAR CONTENT BEING VIEWED BY OTHERS NEUROMAPS: STRUCTURAL AND FUNCTIONAL INTERPRETATION OF BRAIN MAPS Article Open access 06 October 2022 DECIPHERING
SPATIAL DOMAINS FROM SPATIAL MULTI-OMICS WITH SPATIALGLUE Article Open access 21 June 2024 INTRACELLULAR SPATIAL TRANSCRIPTOMIC ANALYSIS TOOLKIT (INSTANT) Article Open access 06 September
2024 DATA AVAILABILITY All the primary links of raw data are provided on the web page of datasets. All processed data can be downloaded via the SODB website
(https://gene.ai.tencent.com/SpatialOmics/) or pysodb package (https://pysodb.readthedocs.io/en/latest/). CODE AVAILABILITY The SODB website is available at
https://gene.ai.tencent.com/SpatialOmics/. Code for the SODB project is available at https://github.com/yuanzhiyuan/SODB_analysis/. Code for pysodb is available at
https://github.com/TencentAILabHealthcare/pysodb. Please refer to Supplementary Table 9 for detailed information on code and resources. CHANGE HISTORY * _ 17 MARCH 2023 A Correction to this
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Article CAS PubMed PubMed Central Google Scholar Download references ACKNOWLEDGEMENTS Z.Y. acknowledges the support from the Shanghai Municipal Science and Technology Major Project (no.
2018SHZDZX01), ZJ Laboratory, Shanghai Center for Brain Science and Brain-Inspired Technology and 111 Project (no. B18015). M.Q.Z. acknowledges support by the Cecil H. and Ida Green
Distinguished Chair. We thank L. Wang of Tencent for technical support. AUTHOR INFORMATION Author notes * These authors contributed equally: Zhiyuan Yuan, Wentao Pan. AUTHORS AND
AFFILIATIONS * 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 Zhiyuan Yuan * Tencent AI Lab, Shenzhen, China Zhiyuan Yuan, Wentao Pan, Xuan Zhao, Zhimeng Xu & Jianhua Yao * Shenzhen International
Graduate School, Tsinghua University, Shenzen, China Wentao Pan & Xiu Li * Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China Fangyuan Zhao & Yi Zhao *
University of Chinese Academy of Sciences, Beijing, China Fangyuan Zhao & Yi Zhao * Department of Biological Sciences, Center for Systems Biology, The University of Texas, Richardson,
TX, USA Michael Q. Zhang Authors * Zhiyuan Yuan View author publications You can also search for this author inPubMed Google Scholar * Wentao Pan View author publications You can also search
for this author inPubMed Google Scholar * Xuan Zhao View author publications You can also search for this author inPubMed Google Scholar * Fangyuan Zhao View author publications You can
also search for this author inPubMed Google Scholar * Zhimeng Xu View author publications You can also search for this author inPubMed Google Scholar * Xiu Li View author publications You
can also search for this author inPubMed Google Scholar * Yi Zhao View author publications You can also search for this author inPubMed Google Scholar * Michael Q. Zhang View author
publications You can also search for this author inPubMed Google Scholar * Jianhua Yao View author publications You can also search for this author inPubMed Google Scholar CONTRIBUTIONS
J.Y., Z.Y. and M.Q.Z. designed the project. Z.Y. performed data collection. Website design was by Z.Y. and X.Z. J.Y., X.L. and Y.Z. provided technical support. Biological interpretation was
by M.Q.Z. and Y.Z. Data statistics were performed by Z.Y. Website implementation was by X.Z. and W.P. Figure generation was by Z.Y. and F.Z. Z.Y. and W.P. wrote the manuscript. Z.X.
maintains the website. J.Y. and M.Q.Z. reviewed the manuscript. All authors approved the final manuscript. CORRESPONDING AUTHORS Correspondence to Zhiyuan Yuan, Michael Q. Zhang or Jianhua
Yao. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing interests. PEER REVIEW PEER REVIEW INFORMATION _Nature Methods_ thanks the anonymous reviewers for their
contributions to the peer review of this work. Primary Handling Editor: Rita Strack, in collaboration with the _Nature Methods_ team. ADDITIONAL INFORMATION PUBLISHER’S NOTE Springer Nature
remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION Supplementary Figs. 1–42, Notes 1
and 2 and Tables 7–10. REPORTING SUMMARY SUPPLEMENTARY TABLE 1 Experiment information of SODB. SUPPLEMENTARY TABLE 2 Dataset information of SODB. SUPPLEMENTARY TABLE 3 Biotechnology
information of SODB. SUPPLEMENTARY TABLE 4 Review article containing computational methods. SUPPLEMENTARY TABLE 5 Computational methods and their categories. SUPPLEMENTARY TABLE 6 Datasets
of SODB used by computational methods. RIGHTS AND PERMISSIONS Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing
agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement
and applicable law. Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Yuan, Z., Pan, W., Zhao, X. _et al._ SODB facilitates comprehensive exploration of spatial omics data. _Nat
Methods_ 20, 387–399 (2023). https://doi.org/10.1038/s41592-023-01773-7 Download citation * Received: 10 August 2022 * Accepted: 06 January 2023 * Published: 16 February 2023 * Issue Date:
March 2023 * DOI: https://doi.org/10.1038/s41592-023-01773-7 SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link Sorry, a
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