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The Actinobacteriophage database, more commonly known as PhagesDB, is a bioinformatics website that collects and shares information related to the discovery, characterization, and genomics of viruses that typically infect Actinobacteria. At the start of 2026, the database contained information on more than 30,000 bacteriophages (phages), as well as over…
Art, Design and features & Access and rights to data
Explore the main themes, entities and connections around PhagesDB. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| PhagesDB | Affiliations | SEA-PHAGES (Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science) | 1.00 | infobox |
| PhagesDB | Founded | April 2010 | 1.00 | infobox |
| PhagesDB | Key people | Dr. Graham Hatfull (HHMI Professor), Dan Russell (Webmaster), Debbie Jacobs-Sera (Phagehunting Program Coordinator), Dr. Welkin H. Pope (Research Assistant Professor), and Dr. V… | 1.00 | infobox |
| PhagesDB | Location | Pittsburgh Bacteriophage Institute at the University of Pittsburgh | 1.00 | infobox |
| PhagesDB | Members | 20,366 (as of 3/15/2022) | 1.00 | infobox |
| PhagesDB | Website | phagesdb.org | 1.00 | infobox |
| PhagesDB | related to Access and rights to data | Information | 0.60 | section |
| PhagesDB | related to Access and rights to data | Application Programming Interface | 0.60 | section |
| PhagesDB | related to Access and rights to data | API | 0.60 | section |
| PhagesDB | related to Design and features | GeneMark | 0.60 | section |
| PhagesDB | related to Design and features | The | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.