STOmicsDB: a database of Spatial Transcriptomic data

Zhicheng Xu,Weiwen Wang, Tao Yang,Jing Chen,Yan Huang, Joshua Gould, Wensi Du,Fan Yang,Ling Li, Tingting Lai,Cong Hua, Shoujie Hu,Jia Cai, Honge Li, Lijin You,Wenjun Zeng, Bo Wang,Longqi Liu, Xun Xu, Fengzhen Chen,Xiaofeng Wei

biorxiv(2022)

引用 9|浏览40
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摘要
Recent technological development in spatial transcriptomics allows researchers to measure gene expression of cells and their spatial locations at the almost single-cell level, which generates detailed biological insight into biological processes. However, specialized spatial transcriptomics databases are rare. Here, we present the Spatial TranscriptOmics DataBase (STOmicsDB), a user-friendly database with multifunctions including search of relevant publications and tools, public dataset visualization, customized specialized databases, new data archive, and online analysis. The current version of STOmicsDB consists of 141 curated spatial transcript datasets covering 12 species, and includes 5,618 spatial multi-omics publications and 674 tools. STOmicsDB is freely accessible at . ### Competing Interest Statement We declare that one of our authors, Joshua Gould, is currently an employee of Cellarity. * CNGBdb : China National GeneBank DataBase EBI : European Bioinformatics Institute EMBL : European Molecular Biology Laboratory GEO : Gene Expression Omnibus NCBI : National Center for Biotechnology Information SCP : Single Cell Portal scRNA-seq : Single-Cell RNA sequencing STOmicsDB : Spatial TranscriptOmics DataBase SRA : Sequence Read Archive
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