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-[rakaia](https://github.com/camlab-bioml/rakaia) - Scalable interactive visualization and analysis of spatial omics including spatial transcriptomics, in the browser ([Website](https://rakaia.io/))
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-[Thor](https://doi.org/10.1038/s41467-025-62593-1) - Comprehensive platform for cell-level analysis with anti-shrinking Markov diffusion and 10 modular tools paired with Mjolnir web interface
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-[VR-Omics](https://doi.org/10.1186/s13059-025-03630-6) - Free platform-agnostic software with end-to-end automated processing of multi-slice spatial transcriptomics data through biologist-friendly GUI | [Windows](https://doi.org/10.6084/m9.figshare.28259834.v3) | [MacOS](https://doi.org/10.6084/m9.figshare.28340495.v4) | [GitHub](https://github.com/Ramialison-Lab/VR-Omics)
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-[CosMx-Analysis-Scratch-Space](https://nanostring-biostats.github.io/CosMx-Analysis-Scratch-Space/) - Analysis resources and tools for CosMx SMI spatial transcriptomics | [GitHub](https://github.com/Nanostring-Biostats/CosMx-Analysis-Scratch-Space)
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### Nextflow / Pipelines
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-[STALocator](https://doi.org/S2405-4712(25)00028-6) - ST-Aided Locator using deep learning to localize cells from single-cell RNA-seq data onto tissue slices
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-[CMAP](https://doi.org/10.1038/s41467-025-61667-4) - Cellular Mapping of Attributes with Position, maps large-scale individual cells to precise spatial locations using divide-and-conquer strategy
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-[TransST](https://doi.org/10.1186/s12859-025-06099-z) - Transfer learning framework leveraging cell-labeled information from external sources for cell-level heterogeneity inference | [GitHub](https://github.com/shuoshuoliu/TransST)
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-[InSituType](https://github.com/Nanostring-Biostats/InSituType) - Cell typing for CosMx SMI spatial transcriptomics
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-[HieraType](https://github.com/Nanostring-Biostats/CosMx-Analysis-Scratch-Space/tree/Main/_code/HieraType) - Hierarchical cell typing using RNA + protein for CosMx SMI
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-[CosMx-Cell-Profiles](https://github.com/Nanostring-Biostats/CosMx-Cell-Profiles) - Cell profile generation for CosMx SMI
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