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Sequence database: History, Current issues & Search

In the field of bioinformatics, a sequence database is a type of biological database that is composed of a large collection of computerized ("digital") nucleic acid sequences, protein sequences, or other polymer sequences stored on a computer. The UniProt database is an example of a protein sequence database. As of 2013 it contained over 40 million…

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Sequence database topic overview

The analysis highlights History, Current issues and Search as prominent areas in the source structure around Sequence database.

Related topics
28
Source areas
4
Connected nodes
32
Extracted relationships
25
Concept neighborhoods
17
Bridge connections
32

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.

History · 13 topics
Current issues · 7 topics
Overview · 7 topics
Search · 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.

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

Search

History

Current issues

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.

How Sequence database connects Entity context

The extracted context around Sequence database shows recurring relationship patterns in the source. For example, Sequence database → EMBL, European Molecular Biology Laboratory, European Nucleotide, Human Genome Project, Nucleotide Sequence Data Library, Previously, The Another extracted example is Sequence database → As, Many, Once, Records, There, Therefore, This. Use these groups to spot repeated connection types before inspecting the individual relationships.

Sequence database

Top relations

related to 1980 · 7
Sequence database → EMBL, European Molecular Biology Laboratory, European Nucleotide, Human Genome Project, Nucleotide Sequence Data Library, Previously, The
related to Storage & redundancy · 7
Sequence database → As, Many, Once, Records, There, Therefore, This
related to 1950 · 5
Sequence database → Frederick Sanger, He, Nobel Prize, The, Thus
related to Present day · 3
Sequence database → GenBank, One, We
related to Search · 2
Sequence database → Searching, The
is a · 1
Sequence database → type of biological database that is composed of a large collection of computerized

Important terminology

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

Important terminology

sequence sequences database protein databases biological large acid based similarity team data number sequencing annotations search scoring storage bioinformatics amino

Sequence database relationships Subject–Predicate–Object triples

TTTA extracted 25 structured relationships around Sequence database. Examples in this analysis include Sequence database → is a → type of biological database that is composed of a large collection of computerized and Sequence database → related to 1950 → The. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Sequence databaseis atype of biological database that is composed of a large collection of computerized0.90text
Sequence databaserelated to 1950The0.60section
Sequence databaserelated to 1950Frederick Sanger0.60section
Sequence databaserelated to 1950He0.60section
Sequence databaserelated to 1950Nobel Prize0.60section
Sequence databaserelated to 1950Thus0.60section
Sequence databaserelated to 1980The0.60section
Sequence databaserelated to 1980Previously0.60section
Sequence databaserelated to 1980European Molecular Biology Laboratory0.60section
Sequence databaserelated to 1980EMBL0.60section
Sequence databaserelated to 1980Nucleotide Sequence Data Library0.60section
Sequence databaserelated to 1980European Nucleotide0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Sequence database bring nearby vocabulary together. In this analysis, examples include Sequence, Similarity and Databases. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Sequence database
    • Sequence
    • Similarity
    • Databases
    • Protein
    • Many
    • Based
    • Data
    • First
    • Large
    • Scoring
    • Biological
    • Type
  • sequence database
    • Sequence
    • Protein
    • Based
    • Large
    • Similarity
    • Databases
    • Alignment
    • Collection
    • Search
    • Many
    • Annotated
    • Data
  • biological database
    • Collection
    • Sequence
    • Large
    • Protein
    • Based
    • Similarity
    • Computerized
    • Nucleic
    • Sequences
    • Type
    • Alignment
    • Search
  • nucleic acid sequences
    • Amino
    • Nucleic
    • Protein
    • Type
    • Sequencing
    • Number
    • Bioinformatics
    • Collection
    • Computerized
    • Sequences
    • Computers
    • Many
  • protein sequence
    • Sequences
    • Similarity
    • Amino
    • Atlas
    • Based
    • Databases
    • Team
    • Protein
    • Sequence
    • Many
    • Data
    • Large
  • molecular database
    • Sequence
    • Protein
    • Based
    • Large
    • Similarity
    • Alignment
    • Collection
    • Search
    • Annotated
    • First
    • Scoring
    • Biological
  • nucleotide sequence
    • Similarity
    • Databases
    • Protein
    • Many
    • Based
    • Data
    • Large
    • Type
    • Annotated
    • Annotations
    • Sequences
    • Team
  • sequence annotations
    • Annotated
    • Based
    • Similarity
    • Databases
    • Many
    • May
    • Protein
    • Biological
    • Data
    • Large
    • Sequences
    • Type

Connections between topic areas Semantic bridges

For Sequence database, one of the stronger structural bridges in this analysis connects Sequence database with History. 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
Sequence database — History · splits 19 ⟂ 14
Sequence database — Overview · splits 25 ⟂ 8
Sequence database — Current issues · splits 25 ⟂ 8

Map overview Semantic statistics

Sequence database

Nodes33
Edges32
Triples25
Avg. degree1.94
Density0.060606
Components1

Source & methodology

TTTA analyzes the structure around Sequence database to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Current issues & Search, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Sequence database · EN edition · Analysis: TopicsToTalkAbout

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