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Journal Article
Developing a web-based platform for Eragrostis tef resource management and analysis
Badasa Firdisa Fufa,
Adugna Abdi Woldesemayat,
Abiy Zegeye
Database, Volume 2026, 2026, baag051, https://doi.org/10.1093/database/baag051
Published: 25 August 2026
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A graphical representation of the extraction of information where (A) is th...
in
Improving annotation, access, and comparison of nutritional composition data for underutilized crops
Published: 25 August 2026
Figure 4
A graphical representation of the extraction of information where (A) is the semantic relationship between two classes (cnao: crop and cnao: crop_part) from the Crop Nutritional Application Ontology (CNAO): cnao: crop represents cultivated crops (bambara groundnut, quinoa) cnao: crop_part represents
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System architecture of TefDB illustrating the three-tier design: presentati...
Published: 25 August 2026
Figure 2
System architecture of TefDB illustrating the three-tier design: presentation layer (React.js frontend), application layer (Django backend with RESTful APIs), and data layer (PostgreSQL database). For image description, please refer to the figure legend and surrounding text.
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Entity–Relationship (ER) diagram of the TefDB database showing 17 entities,...
Published: 25 August 2026
Figure 3
Entity–Relationship (ER) diagram of the TefDB database showing 17 entities, including Gene, Protein, Nucleotide, Genome Assembly, Taxonomy, BioProject, BioSample, SRA, GEO, Bio-assay, Pathway, Substance, Literature, User, Feedback, Recent Activity, and Dataset Submission, along with their relationsh
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Activity diagram of TefDB illustrating the workflow for data browsing, sear...
Published: 25 August 2026
Figure 5
Activity diagram of TefDB illustrating the workflow for data browsing, searching, filtering, downloading, analysis, and dataset submission with an administrator approval process. For image description, please refer to the figure legend and surrounding text.
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Respondent profile of the user survey (n = 41), showing distribution by gen...
Published: 25 August 2026
Figure 8
Respondent profile of the user survey (n = 41), showing distribution by gender, educational level, research field, and professional role. For image description, please refer to the figure legend and surrounding text.
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Familiarity with and requested bioinformatics tools, showing BLAST and geno...
Published: 25 August 2026
Figure 10
Familiarity with and requested bioinformatics tools, showing BLAST and genome browsers as the most commonly used tools among respondents. For image description, please refer to the figure legend and surrounding text.
Journal Article
Improving annotation, access, and comparison of nutritional composition data for underutilized crops
Agnes Aboagye,
Paul D Shaw,
Sebastian Raubach,
Sean Mayes,
Graham King,
Guillermina M Mendiondo
Database, Volume 2026, 2026, baag050, https://doi.org/10.1093/database/baag050
Published: 25 August 2026
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Development of domain knowledge graph in Ontopic Suite, showing semantic ma...
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Improving annotation, access, and comparison of nutritional composition data for underutilized crops
Published: 25 August 2026
Figure 3
Development of domain knowledge graph in Ontopic Suite, showing semantic mapping of the database table ‘crop’ to the class agro: crop in the CNAO ontology, which was imported from the Agronomy Ontology (Fig. 2B). The mapping process is a core step in enabling ontology-based data access to relational
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Comparison of the performance of soybean and bambara groundnut across speci...
in
Improving annotation, access, and comparison of nutritional composition data for underutilized crops
Published: 25 August 2026
Figure 6
Comparison of the performance of soybean and bambara groundnut across specific nutritional composition data (e.g. Vitamin B9, Vitamin C, Vitamin B2). The data were retrieved from the data source described in Table 1 through the CNAO semantic knowledge base, structured into a table format, and visu
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Workflow diagram of the study showing the sequential phases from problem id...
Published: 25 August 2026
Figure 1
Workflow diagram of the study showing the sequential phases from problem identification to deployment and documentation, following the Design Science Research (DSR) methodology. For image description, please refer to the figure legend and surrounding text.
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Use-case diagram of TefDB showing interactions between actors (Public User,...
Published: 25 August 2026
Figure 4
Use-case diagram of TefDB showing interactions between actors (Public User, Registered User, and Administrator) and system functionalities, including data browsing, analysis, submission, authentication, and feedback. For image description, please refer to the figure legend and surrounding text.
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Respondent preferences for data types, indicating the percentage of partici...
Published: 25 August 2026
Figure 9
Respondent preferences for data types, indicating the percentage of participants who work with genomic, phenotypic, proteomic, and other biological data types. For image description, please refer to the figure legend and surrounding text.
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Preferences for naming the Eragrostis tef database, with TefDB receiving th...
Published: 25 August 2026
Figure 12
Preferences for naming the Eragrostis tef database, with TefDB receiving the highest support (65.9%). For image description, please refer to the figure legend and surrounding text.
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User interface of the TefDB platform, showing the homepage with navigation ...
Published: 25 August 2026
Figure 13
User interface of the TefDB platform, showing the homepage with navigation menu, search functionality, and data categories. JBrowse user interface page. For image description, please refer to the figure legend and surrounding text.
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Crop Nutrition Application Ontology (CNAO) for UC nutritional data was cons...
in
Improving annotation, access, and comparison of nutritional composition data for underutilized crops
Published: 25 August 2026
Figure 1
Crop Nutrition Application Ontology (CNAO) for UC nutritional data was constructed based on the class hierarchy and relation using Protégé. We used BFO as the upper-level ontology and imported terms from the OBO Foundry to develop a framework for data integration. Hierarchical tree diagram of the
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Overview of the semantic data integration framework aligned to the nutritio...
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Improving annotation, access, and comparison of nutritional composition data for underutilized crops
Published: 25 August 2026
Figure 2
Overview of the semantic data integration framework aligned to the nutritional data of UCs. Even though developed with nutritional data of UCs, it is designed to be generic for all crops and centred around an ontology-based data access and integration (OBDI) approach. (A) The foundation of the frame
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Graphical representation of the link between obo: AGRO_00000325 (in this ca...
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Improving annotation, access, and comparison of nutritional composition data for underutilized crops
Published: 25 August 2026
Figure 5
Graphical representation of the link between obo: AGRO_00000325 (in this case, foxtail millet) and cnao: trait, representing the associated phenotypic or agronomic traits. Each crop is identified using the data property cnao: cropCommonName, while each trait is described using the data property cnao
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BLAST integration pipeline showing the workflow from user query submission ...
Published: 25 August 2026
Figure 6
BLAST integration pipeline showing the workflow from user query submission to local database search and result visualization within the TefDB platform. For image description, please refer to the figure legend and surrounding text.
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JBrowse 2 integration pipeline depicting the process of preparing genome da...
Published: 25 August 2026
Figure 7
JBrowse 2 integration pipeline depicting the process of preparing genome data, configuring the genome browser, and rendering interactive genomic visualizations. For image description, please refer to the figure legend and surrounding text.
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