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SMDB: a Spatial Multimodal Data Browser

delete2023-05-22
delete4
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OA
AI
R
Ruifang Cao
Y
Yunchao Ling
J
Jiayue Meng
A
Ao Jiang
R
Ruijin Luo
Q
Qinwen He
李
李安安 (Anan Li)
陈玉洁 封面图
陈玉洁 (Yujie Chen)
Z
Zoutao Zhang
刘
刘峰 (Feng Liu) *
李
李逸平 (Yixue Li) *
张
张国庆 (Guoqing Zhang) *
DOI:10.1093/nar/gkad413delete
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摘要

摘要

En 中文
Understanding the relationship between fine-scale spatial organization and biological function necessitates a tool that effectively combines spatial positions, morphological information, and spatial transcriptomics (ST) data. We introduce the Spatial Multimodal Data Browser (SMDB,), a robust visualization web service for interactively exploring ST data. By integrating multimodal data, such as hematoxylin and eosin (H&E) images, gene expression-based molecular clusters, and more, SMDB facilitates the analysis of tissue composition through the dissociation of two-dimensional (2D) sections and the identification of gene expression-profiled boundaries. In a digital three-dimensional (3D) space, SMDB allows researchers to reconstruct morphology visualizations based on manually filtered spots or expand anatomical structures using high-resolution molecular subtypes. To enhance user experience, it offers customizable workspaces for interactive exploration of ST spots in tissues, providing features like smooth zooming, panning, 360-degree rotation in 3D and adjustable spot scaling. SMDB is particularly valuable in neuroscience and spatial histology studies, as it incorporates Allen's mouse brain anatomy atlas for reference in morphological research. This powerful tool provides a comprehensive and efficient solution for examining the intricate relationships between spatial morphology, and biological function in various tissues.
Keyword:
GENE-EXPRESSION
STRIATUM
FRAMEWORK
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期刊

Nucleic Acids Research 封面图
Nucleic Acids Research
IF:
13.1
论文数:
3.6W
被引数:
29.0W

机构

U
university of chinese academy of sciences, cas
学者数:
4.1W
论文数: 3.8W
被引数: 75
S
shanghai institute of nutrition & health, cas
学者数:
901
论文数: 595
被引数: 0
C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
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