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Published: 24 March 2026
Figure 1 Overview of the variant analysis and database implementation workflow for P. aeruginosa . For image description, please refer to the figure legend and surrounding text.
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Published: 24 March 2026
Figure 2 Year-wise counts of P. aeruginosa genomes retrieved from BV-BRC (Bacterial and Viral Bioinformatics Resource Center). For image description, please refer to the figure legend and surrounding text.
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Published: 24 March 2026
Figure 4 The proportion of genomes resistant to the different antibiotics in the 2342 genomes of P. aeruginosa shows that meropenem constitutes the highest percentage of resistance cases (16.4%), followed by ceftazidime (12.5%), amikacin (10.0%), and levofloxacin, which represents 9.9%. For image descri
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Published: 24 March 2026
Figure 5 Pa VarDB is organized using a relational database schema, implemented in SQLite. For image description, please refer to the figure legend and surrounding text.
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Published: 24 March 2026
Figure 6 The search schema for the web-based interface of Pa VarDB (P. aeruginosa variant database) is organized into two primary categories: Region-based search and phenotype-based search. For image description, please refer to the figure legend and surrounding text.
Journal Article
Virudhagiri Elamurugan and others
Database, Volume 2026, 2026, baag014, https://doi.org/10.1093/database/baag014
Published: 24 March 2026
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Published: 24 March 2026
Figure 3 The count of P. aeruginosa genomes from geographic group shows that Asia (1561) and Europe (498) report the largest number of isolates, followed by North America (225), South America (57), and Oceania [ 1 ]. For image description, please refer to the figure legend and surrounding text.
Journal Article
Jorge S Oliveira and others
Database, Volume 2026, 2026, baag012, https://doi.org/10.1093/database/baag012
Published: 17 March 2026
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Published: 17 March 2026
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Published: 17 March 2026
Figure 2 Box-plot depicting the distribution of number of queries until occlusion of the target data subject by the RIP algorithm ( ) in 100 re-identification attacks.
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Published: 17 March 2026
Figure 1 Mean number of queries in data discovery experiments as function of the dataset size, with linear regression line. Experiments consisted of 100 runs of up to 100 random genomic variants for different dataset sizes, until the first data subject is removed from the results by the RIP algorithm.
Journal Article
Stanley J F Laulederkind and others
Database, Volume 2026, 2026, baag008, https://doi.org/10.1093/database/baag008
Published: 27 February 2026
Journal Article
Farhan Ullah and others
Database, Volume 2026, 2026, baag011, https://doi.org/10.1093/database/baag011
Published: 27 February 2026
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Published: 27 February 2026
Figure 2 Path from human QTL GWAS651163_Hpage to a list of rat strains (models for hypertension) and QTLs. (A) QTL search; (B) Human QTL report page with disease annotation and relevant genomic data; (C) ‘Genes in Region’ of the human QTL page, showing ACE, the gene in which the human QTL GWAS651163_Hresides
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Published: 27 February 2026
Figure 2 The usage page of the database is organized as: (a) it displays a compound search query, allowing users to search by entering the compound name. (b) By clicking the example button, users can view examples and highlighted BEDB IDs. (c) An advanced search query is also provided, complete with an examp
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Published: 27 February 2026
Figure 3 The contribution entry page of the database allows researchers to input new compounds along with their binding energy and other essential information.
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Published: 27 February 2026
Figure 4 Docking analysis of MK-3207, etoposide, Teniposide, and UK-432097 with the HMPV virus. Panels (a) and (b) show the binding position and 2D interaction of MK-3207 and etoposide, respectively. Panels (c) and (d) depict the binding position and 2D interactions of Teniposide and UK-432097, respectively.
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Published: 27 February 2026
Figure 6 Represent the RMSD and RMSF analysis of MK-3207 and etoposide drugs in complex with HMPV virus. Panel [a(a)] represents the RMSD of MK-3207, panel [a(b)] represents the RMSD of etoposide, panel [b(a)] represents the RMSF of MK-3207, and panel [b(b)] represents the RMSF of etoposide.
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Published: 27 February 2026
Figure 7 Represent the SASA and radius of gyration of MK-3207 and etoposide in complex with HMPV virus. Panel [a(a)] represents the SASA value of MK-3207, panel [a(b)] represents the SASA value of etoposide. While panel [b(a and b)] represent the Rg of MK-3207 and etoposide, respectively.
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Published: 27 February 2026
Figure 1 A graphical representation of the BEDB illustrates several key components. It provides a background understanding that offers context for the database. The section on data search engines highlights the various search engines used for data collection. Additionally, the specific keywords utilized duri