PhagesDB

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PhagesDB topic overview

The analysis highlights Art, Design and features and Access and rights to data as prominent areas in the source structure around PhagesDB.

Related topics: 8
Source areas: 3
Connected nodes: 11
Extracted relationships: 10
Related term clusters: 9
Bridge connections: 11

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 5 topics

Design and features · 2 topics

Access and rights to data · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

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)

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

PhagesDB

5Bioinformatics · Genomics · Virus

3Amino acid · Genome · Application programming interface

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Design and features

Access and rights to data

Application programming interface

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How PhagesDB connects Entity context

The extracted context around PhagesDB shows recurring relationship patterns in the source. For example, PhagesDB → API, Application Programming Interface, Information Another extracted example is PhagesDB → SEA-PHAGES (Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science). Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Access and rights to data · 3

PhagesDB → API, Application Programming Interface, Information

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

related to Design and features · 1

PhagesDB → GeneMark

Important terminology

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

PhagesDB relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around PhagesDB. Examples in this analysis include PhagesDB → Affiliations → SEA-PHAGES (Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science) and PhagesDB → Founded → April 2010. The table shows each extracted connection, where it came from and its confidence.

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

Related concept clusters Related term clusters

The concept neighborhoods around PhagesDB bring nearby vocabulary together. In this analysis, examples include Website, Related and Shares. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

actinobacteria
- Characterization
- Collects
- Commonly
- Discovery
- Infect
- Known
- Related
- Shares
- Typically
- Viruses
- Actinobacteriophage
- Bioinformatics
bioinformatics
- Genomics
- Characterization
- Collects
- Commonly
- Discovery
- Infect
- Known
- Related
- Shares
- Typically
- Viruses
- Bacteriophage
genomics
- Website
- Phagesdb
- Information
- Infect
- Known
- Related
- Shares
- Typically
- Viruses
- Bacteriophage
- Different
- Hhmi
PhagesDB
- Website
- Related
- Shares
- Typically
- Viruses
- Data
- Different
- Hhmi
- Program
- Well
phagesdb
- Website
- Related
- Shares
- Typically
- Viruses
- Data
- Different
- Hhmi
- Program
- Well
access and rights to data
- Design
- Features
- Rights
- See
- Actinobacteriophage
- Bacteriophage
- Data
- Dr
- Phagesdb
- Database
bacteriophages
- Contained
- Fully
- Start
- Phages
- Sequenced
- Well
- Information
- Database
design and features
- Access
- Features
- Rights
- See
- Bacteriophage
- Data
- Dr

Connections between topic areas Semantic bridges

For PhagesDB, one of the stronger structural bridges in this analysis connects PhagesDB with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

PhagesDB — Overview · splits 6 ⟂ 6

PhagesDB — Design and features · splits 9 ⟂ 3

Map overview Semantic statistics

PhagesDB

Nodes12

Edges11

Triples10

Avg. degree1.83

Density0.166667

Components1

Source & methodology

TTTA analyzes the structure around PhagesDB to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Design and features & Access and rights to data, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — PhagesDB · EN edition · Analysis: TopicsToTalkAbout

PhagesDB: Art, Design and features & Access and rights to data

PhagesDB topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Design and features

Access and rights to data

For the semantics nerds

Advanced semantic analysis

How PhagesDB connects Entity context

PhagesDB

Top relations

Important terminology

Important terminology

PhagesDB relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

PhagesDB

Source & methodology