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Decoding Phenotypes at the Cell Type Level
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Open and Reproducible Omics Data: Share advances in software development and metadata standards that enable transparent sharing and reproducibility across diverse omics and imaging datasets.
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From Standards to Atlases: Discuss pipelines and resources for enabling large-scale integration and analysis of single cell data to construct atlases. Discuss contributions to global initiatives.
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Cell Atlases as Tools to Decode Phenotypes: Highlight how single-cell transcriptomics is being used to unravel complex phenotypes, understand tissue composition and study cellular evolution. Applications across human, plant, and biodiversity cell atlas projects.
