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How biological databases (DBs) implement the FAIR principles and promote FA...
Published: 25 April 2025
Figure 1.
How biological databases (DBs) implement the FAIR principles and promote FAIR data.
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Database (DB) stakeholders, their roles in data management, and how the edu...
Published: 25 April 2025
Figure 2.
Database (DB) stakeholders, their roles in data management, and how the educational curriculum will positively impact them.
Journal Article
A teaching and training framework to promote findable, accessible, interoperable, and reusable data generation in agriculture
Database, Volume 2025, 2025, baaf034, https://doi.org/10.1093/database/baaf034
Published: 25 April 2025
Journal Article
CPDMS: a database system for crop physiological disorder management
Database, Volume 2025, 2025, baaf031, https://doi.org/10.1093/database/baaf031
Published: 22 April 2025
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Collection of healthy and diseased plant images from various angles. (a). F...
Published: 22 April 2025
Figure 1.
Collection of healthy and diseased plant images from various angles. (a). Front view image (0°), (b) front view image (120°), (c) front view image (240°), (d) top view image, (e) petiole image (upper leaf), (f) petiole image (lower leaf).
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A snapshot of the CPDMS web database. The website is organized into an intr...
Published: 22 April 2025
Figure 2.
A snapshot of the CPDMS web database. The website is organized into an introduction and a physiological disorder collecting flow chart.
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Application of physiological disorder collecting images using a smartphone....
Published: 22 April 2025
Figure 3.
Application of physiological disorder collecting images using a smartphone. (a) Application main screen snap. (b) Major functions of application. (c) QR code-based management of object meta-information. (D) Upload of image. (E) My account includes user information and collected information such as i
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Plant disease symptom image annotation. (a) FW(Flower), (b) LF(Leaf), (c) T...
Published: 22 April 2025
Figure 4.
Plant disease symptom image annotation. (a) FW(Flower), (b) LF(Leaf), (c) TOP(Top view), (d) FR(Fruit), and (e) SV(Side view).
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Artificial intelligence training process.
Published: 22 April 2025
Figure 6.
Artificial intelligence training process.
Journal Article
Mapping assays to the key characteristics of carcinogens to support decision-making
Database, Volume 2025, 2025, baaf026, https://doi.org/10.1093/database/baaf026
Published: 22 April 2025
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Physiological disorder image database system. (a) Main screen interface of ...
Published: 22 April 2025
Figure 5.
Physiological disorder image database system. (a) Main screen interface of crop physiological disorder image management system (b) Crop stress and crop information included in the informational list category (c) Project creation list. (d) The database can be aligned in a list form of images taken by
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Correlation between Ralstonia solanacearum cell count and CP value...
Published: 22 April 2025
Figure 7.
Correlation between Ralstonia solanacearum cell count and CP value, and pathogen content in resistant and susceptible tomato tissues. (a) Correlation between the number of R. solanacearum (Bacterial Wilt pathogen) cells and CP value. (b) Measurement of Bacterial Wilt pathogen content in infected
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Proteins showing oxidative stress-dependent changes in localization. (a) In...
Published: 21 April 2025
Figure 2.
Proteins showing oxidative stress-dependent changes in localization. (a) In the Localizatome database, we identified 1910 proteins showing enhanced foci formation under oxidative stress. (b) Representative localization changes of stress granules and autophagy-related proteins. (c) Results of KEGG si
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Sequence features of oxidative stress-dependent localization change protein...
Published: 21 April 2025
Figure 3.
Sequence features of oxidative stress-dependent localization change proteins. (a) Motif analysis of proteins that show foci formation dependent on oxidative stress. (b) Representative localization changes of proteins with glutamic acid repeat motifs along with the disordered prediction score for eac
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Database content and construction of MIPD. (a) Data collection process in t...
Published: 21 April 2025
Figure 1.
Database content and construction of MIPD. (a) Data collection process in the MIPD. (b) Construction of MIPD. (c) User interface of the MIPD, supporting browsing, searching, and downloading of analysis results.
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Screenshot of the Localizatome database. (a) The top page displays a search...
Published: 21 April 2025
Figure 1.
Screenshot of the Localizatome database. (a) The top page displays a search box and a list of images where users can search for genes using the gene ID, gene symbol, gene full name, or clone ID (FLJ ID), with gene IDs are linked to the NCBI database ( https://www.ncbi.nlm.nih.gov/ ) and clone IDs ar
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Overview of MIPD knowledgebase. (a) Homepage and keyword search interface. ...
Published: 21 April 2025
Figure 3.
Overview of MIPD knowledgebase. (a) Homepage and keyword search interface. (b) Example of searching for the clinical factor ‘OS’. (c) Example of searching for the molecule ‘CD4’. (d) Example of searching for the imaging feature ‘original_shape_Flatness’.
Journal Article
Localizatome: a database for stress-dependent subcellular localization changes in proteins
Database, Volume 2025, 2025, baaf028, https://doi.org/10.1093/database/baaf028
Published: 21 April 2025
Journal Article
MIPD: Molecules, Imagings, and Clinical Phenotype Integrated Database
Database, Volume 2025, 2025, baaf029, https://doi.org/10.1093/database/baaf029
Published: 21 April 2025
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The main functions and usages of MIPD. Input, output, and contents informat...
Published: 21 April 2025
Figure 2.
The main functions and usages of MIPD. Input, output, and contents information of MIPD.
