SpatialRef: a reference of spatial omics with known spot annotation

(database[TitleAbstract]) AND (Nucleic acids research[Journal]) 2024-11-14

Summary:

Spatial omics technologies have enabled the creation of intricate spatial maps that capture molecular features and tissue morphology, providing valuable insights into the spatial associations and functional organization of tissues. Accurate annotation of spot or domain types is essential for downstream spatial omics analyses, but this remains challenging. Therefore, this study aimed to develop a manually curated spatial omics database (SpatialRef, https://bio.liclab.net/spatialref/), to provide...

Link:

https://pubmed.ncbi.nlm.nih.gov/39417483/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1VsHRGSo3HX0CgC40wRgBdaScQKv8CRE2sO_GaWJzhPEXTSQfX&fc=20220129230418&ff=20241114100651&v=2.18.0.post9+e462414

From feeds:

📚BioDBS Bibliography » (database[TitleAbstract]) AND (Nucleic acids research[Journal])

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Authors:

Ting Cui, Yan-Yu Li, Bing-Long Li, Han Zhang, Ting-Ting Yu, Jia-Ning Zhang, Feng-Cui Qian, Ming-Xue Yin, Qiao-Li Fang, Zi-Hao Hu, Yu-Xiang Yan, Qiu-Yu Wang, Chun-Quan Li, De-Si Shang

Date tagged:

11/14/2024, 10:12

Date published:

10/17/2024, 06:00