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Overall


New: A command-line version of SOView is available at SOView


This repo contains code related to SODB and its companion command-line package pysodb.

  • Data Processing
  • Figure Regeneration
  • Benchmarking
  • Demonstration

SODB overview

SODB

Key resources

Category Purpose Figure Code
Website Website of SODB None Link
Website Website of pysodb None Link
Data Processing Process Raw data to Anndata format None Link
Data Processing Process Anndata format to SODB ready None Link
Figure Regeneration Compare with related works Fig. 1g Link
Figure Regeneration Timeline plot of spatial omics Fig. 2a Link
Figure Regeneration Pie chart of category statistics of datasets Fig. 2bcdgh Link
Figure Regeneration Tree plot of human and mouse studies Fig. 2ef Link
Figure Regeneration Boxplot of SE features and data sparsity Fig. 2ij Link
Figure Regeneration Other figures Fig. 3~5 Generated by SODB website
Figure Regeneration Computational methods covered by review papers Fig. 6a Link
Figure Regeneration Methods supported by SODB Fig. 6bcd Link
Figure Regeneration Datasets frequency analysis Fig. 6ef Link
Figure Regeneration 4i spatial proteomics analysis Fig. S14 Link
Figure Regeneration Country distribution Fig. S6 Link
Benchmarking Benchmark analysis of data loading Fig. S24 Link
Benchmarking Benchmark analysis of spatial domain Fig. S25~42 Link
Demonstration Tutorial of pysodb None Link
Demonstration Demonstrate the compatibility with SCANPY and Squidpy Fig. 1 Link

Cite


Yuan, Z., Pan, W., Zhao, X. et al. SODB facilitates comprehensive exploration of spatial omics data. Nat Methods (2023). https://doi.org/10.1038/s41592-023-01773-7
Spatial Omics DataBase (SODB): increasing accessibility to spatial omics data. Nat Methods (2023). https://doi.org/10.1038/s41592-023-01772-8