Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

PhagesDB

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

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

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.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Design and features

2 related topics

Access and rights to data

1 related topics

Overview

5 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded
April 2010
Location
Pittsburgh Bacteriophage Institute at the University of Pittsburgh
Affiliations
SEA-PHAGES (Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science)
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…
Members
20,366 (as of 3/15/2022)

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Design and features

Access and rights to data

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

PhagesDB

Nodes12
Edges11
Triples11
Avg. degree1.83
Density0.166667
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

PhagesDB

Top relations

related to Access and rights to data · 3
PhagesDB → API, Application Programming Interface, Information
related to Design and features · 2
PhagesDB → GeneMark, The
Affiliations · 1
PhagesDB → SEA-PHAGES (Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science)
Founded · 1
PhagesDB → April 2010
Key people · 1
PhagesDB → Dr. Graham Hatfull (HHMI Professor), Dan Russell (Webmaster), Debbie Jacobs-Sera (Phagehunting Program Coordinator), Dr. Welkin H. Pope (Research Assistant Professor), and Dr. V…
Location · 1
PhagesDB → Pittsburgh Bacteriophage Institute at the University of Pittsburgh
Members · 1
PhagesDB → 20,366 (as of 3/15/2022)
Website · 1
PhagesDB → phagesdb.org

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

database information genomics dr bioinformatics actinobacteriophage website phages well sequenced hhmi professor program bacteriophage data viruses actinobacteria bacteriophages different commonly

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
PhagesDBAffiliationsSEA-PHAGES (Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science)1.00infobox
PhagesDBFoundedApril 20101.00infobox
PhagesDBKey peopleDr. Graham Hatfull (HHMI Professor), Dan Russell (Webmaster), Debbie Jacobs-Sera (Phagehunting Program Coordinator), Dr. Welkin H. Pope (Research Assistant Professor), and Dr. V…1.00infobox
PhagesDBLocationPittsburgh Bacteriophage Institute at the University of Pittsburgh1.00infobox
PhagesDBMembers20,366 (as of 3/15/2022)1.00infobox
PhagesDBWebsitephagesdb.org1.00infobox
PhagesDBrelated to Access and rights to dataInformation0.60section
PhagesDBrelated to Access and rights to dataApplication Programming Interface0.60section
PhagesDBrelated to Access and rights to dataAPI0.60section
PhagesDBrelated to Design and featuresGeneMark0.60section
PhagesDBrelated to Design and featuresThe0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.