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Published: 02 January 2026
Figure 1. Overview of the FAIR-DS. The FAIR-DS models five classes (B), the investigation, study, observational unit, sample, and the assay. Each class is given a sheet in the Excel document (A). In these sheets, the fields of the class can be filled in. Each instance of the class has a row in the Excel sheet
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Published: 02 January 2026
Figure 3. Methodology and schema for the Monitoring dataset. Steps used for analysing azole resistance in bulb-based compost in the laboratory (describe don the left side), and the methodology for data analysis (described on the right).
Journal Article
Sibbe Bakker and others
Database, Volume 2025, 2025, baaf082, https://doi.org/10.1093/database/baaf082
Published: 02 January 2026
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Published: 02 January 2026
Figure 2. Overview of the SchimmelRadar method. (A) A DeltaTrap with three sticky strips is used to capture spores from A. fumigatus . These strips are incubated in selective conditions to obtain CFUs of A. fumigatus . The schema of the SchimmelRadar project. (B) Four subclasses of sample are made: CFUCount
Journal Article
Princy Saini and others
Database, Volume 2025, 2025, baaf087, https://doi.org/10.1093/database/baaf087
Published: 31 December 2025
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Published: 31 December 2025
Figure 3. Three-tier architecture and data structure of CyExpDB. A schematic representation of the CyExpDB relational database, showing its three-tier architecture (presentation, application, and data layers) and the integration of tissue-specific gene expression data across Cyprinidae species.
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Published: 31 December 2025
Figure 4. Histogram showing the distribution of highly specific, intermediate, and housekeeping genes across the five major Cyprinidae species, based on tau (τ) score classification.
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Published: 31 December 2025
Figure 5. Overview and workflow of the Cyprinidae Expression Database (CyExpDB). (A) Home page providing access to database sections and species selection. (B) Genome overview page displaying species-specific genomic information and data download options, with a selection panel for tissue type and gene class.
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Published: 31 December 2025
Figure 1. Tissue diversity and sample counts in cyprinid species. Donut charts illustrate the number of BioProjects and the distribution of RNA-seq samples across different tissues for each of the five major Cyprinidae species included in this study. The charts highlight the extensive tissue diversity and sam
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Published: 31 December 2025
Figure 2. Workflow for the construction of the Cyprinidae Expression Atlas. A schematic overview of the analytical pipeline, detailing the key steps from raw RNA-seq data preprocessing, alignment to reference genomes, expression quantification (FPKM/TPM), coding potential estimation, functional annotation, an
Journal Article
Shao-Yan Pu and others
Database, Volume 2025, 2025, baaf077, https://doi.org/10.1093/database/baaf077
Published: 23 December 2025
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Published: 23 December 2025
Figure 2. An overview of Odonata of China database. The main data contents and statistics including search, identification, photos, and phylogeny.
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Published: 23 December 2025
Figure 3. Illustration of browse and search interfaces in Odonata of China database. (A) The search web interface of Odonata of China database. (B) The introduction web interface. (C) The phylogeny web interface. (D) The identification web interface. (E) The photo display page. (F) Display the page of the pub
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Published: 23 December 2025
Figure 1. The overall functionality of the database is mainly focused on search, browsing, sequence alignment, image display, and contact information. It adopts a front-end and back-end separation technology, with the front-end and back-end respectively paired with the mainstream development frameworks React
Journal Article
Jeanette Reinshagen and others
Database, Volume 2025, 2025, baaf081, https://doi.org/10.1093/database/baaf081
Published: 09 December 2025
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Published: 09 December 2025
Figure 6. Neo4j dashboard. (a) compound search panel, (b) compound’s analogues space search panel, (c) target search panel.
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Published: 09 December 2025
Figure 7. Compound-centric information retrieved by the KNIME and Python annotation pipelines (blue and red bars, respectively). The similarity between the two sets was measured using the Jaccard Index (black line). Data from binding and functional assays with a pChEMBL value ≥ 6 and a confidence score ≥ 8 we
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Published: 09 December 2025
Figure 9. (a) ChEMBL protein family classification from KNIME’s annotation; (b) ChEMBL protein family classification from Python’s annotation. Data from binding and functional assays with a pChEMBL value ≥ 6 and a confidence score ≥ 8 were considered.
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Published: 09 December 2025
Figure 11. Distribution of compounds from the R4A set indicating the number of targets in Homo sapiens they are reported to be active against. Data from binding and functional assays with a pChEMBL value ≥ 6 and a confidence score ≥ 8 were considered.
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Published: 09 December 2025
Figure 13. Profiles of pharmaceutical, clinical, and biological results retrieved from the ChEMBL Annotation Dashboard for (a) Ezogabine (Retigabine) and (b) JNJ-37822681.