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Journal Article
Yanfei Wu and others
Database, Volume 2026, 2026, baag010, https://doi.org/10.1093/database/baag010
Published: 20 February 2026
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Published: 20 February 2026
Figure 1 SADaCC-based activities in developing and expanding the SickleInAfrica registry.
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Published: 20 February 2026
Figure 2 Available data in the SickleInAfrica registry from SPARCo clinical sites (November 2025). Zim/Zam: Zimbabwe and Zambia.
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Published: 20 February 2026
Figure 3 Compare module of huSA database. (A) The page accompanied with red frame indicates step by step administration for dataset comparison. (B) The page accompanied with red frame shows the method of sample comparison. (C) A page displays the gene expression visualization.
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Published: 20 February 2026
Figure 5 The pages of ‘Integration’, ‘Spatial’ and ‘Bulk’ modules. (A) The page shows 17 functions options of Integration. (B) The website displays the messages of collected spatial dataset, the red box and red line refers to the ‘Cirrocumulus’ platform which is equipped for the personized visualization of s
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Published: 20 February 2026
Figure 8 Functional characteristics and intercellular communication of fibroblast subpopulations in Prurigo Nodularis (PN). A. The diagram shows pathway enrichment analysis of the F7_NREP fibroblast subpopulation. B. Dot plot shows the neural signaling related genes expression in fibroblast subpopulations an
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Published: 20 February 2026
Figure 1 Overview of scDrugAtlas data resource, data integration and drug response label assignment, and functional modules for single-cell transcriptomic data analysis and visualization.
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Published: 20 February 2026
Figure 2 Statistics of scDrugAtlas datasets. (A) Proportion of datasets according to cell source types and diseases. (B) Frequency of datasets according to publication date.
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Published: 20 February 2026
Figure 3 Overview of the scDrugAtlas web platform and its functional modules.(a) Homepage of scDrugAtlas. (b) Dataset listing and filtering interface, allowing users to search by source type, species, release date, and disease. (c) Evolutionary trajectory of tumour cells annotated with drug response labels (
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Published: 20 February 2026
Figure 4 Two case studies demonstrating the development of predictive models for identifying drug-resistant tumour cell subpopulations. Case study 1: (a) UMAP visualization of scRNA-seq data from PC9 cells annotated with resistance and sensitivity labels, showing the true labels (circle) and the RF-predicted
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Published: 20 February 2026
Figure 6 Analysis of scRNA-seq dataset for psoriasis through huSA. A. UMAP plot shows the detailed subtypes of the dataset (GSE173706). B. UMAP plots represent key genes expression on fibroblasts. C. Pie plots display the subtype distribution in the individual sample. D. The heatmap shows the sum of signific
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Published: 20 February 2026
Figure 7 A profibrotic F7_NREP fibroblast subpopulation is enriched in prurigo nodularis (PN). A. UMAP projection of 95 753 integrated skin fibroblasts, identifying 10 distinct subsets. B. Dot plot showing marker gene expression defining fibroblast subsets. C. Heatmap of Ro/e analysis showing relative fibrob
Journal Article
Ambroise Wonkam and others
Database, Volume 2026, 2026, baag007, https://doi.org/10.1093/database/baag007
Published: 20 February 2026
Journal Article
Meiling Zheng and others
Database, Volume 2026, 2026, baag009, https://doi.org/10.1093/database/baag009
Published: 20 February 2026
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Published: 20 February 2026
Figure 3 SADaCC digital infrastructure and processes for streamlining data management and analysis.
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Published: 20 February 2026
Figure 1 Overview of huSA. All datasets were mainly resourced from 4 database. The scRNA-seq data, bulk RNA-seq data and spatial transcription data were performed a series of analysis. Besides ‘Home’ page, the huSA provides other 6 functional modules, the ‘Compare’, ‘Analysis’, and ‘Integration’ module were
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Published: 20 February 2026
Figure 2 The browse interface of huSA. (A) An overview of the ‘Browse’ pages, including a Table displaying all collected datasets, detailed information, and the search functionality. (B) An additional page demonstrating that the ‘Detail’ option provides users with detailed results of scRNA-seq datasets. (C)
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Published: 20 February 2026
Figure 4 Four main advanced function in the ‘Analysis’ module. (A) The CellphoneDB includes 4 different visualized method to show the results of cell-cell interaction. (B) The pySCENIC encompasses heatmap to show regulon activity and rssplot to display all cell type/single cell type rss score. (C) Heatmap an
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Published: 16 February 2026
Figure 5 Revised representation of ‘developmental and epileptic encephalopathy’. Major revisions are still underway, and currently we are considering the addition of the generic ‘developmental and epileptic encephalopathy’ and relabelling of MONDO:0100062 to ‘hereditary developmental and epileptic encephalop
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Published: 16 February 2026
Figure 6 Revisions to MONDO:0800491 ‘early-infantile syndrome’ included revised synonyms and subclasses. ‘Early myoclonic encephalopathy’ is proposed to be merged into ‘early-infantile DEE’ and ‘Ohtahara syndrome’ is proposed to be a new synonym. The subclasses were revised, and these three DEE subtypes rema