GigaScience

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GigaScience topic overview

The analysis highlights Science and Art as prominent areas in the source structure around GigaScience.

Related topics: 26
Source areas: 3
Connected nodes: 29
Extracted relationships: 22
Concept neighborhoods: 18
Bridge connections: 29

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 · 14 topics

Abstracting and indexing · 10 topics

GigaDB and GigaGalaxy · 2 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.

Publisher: Oxford University Press and the Beijing Genomics Institute
CODEN: GIGABJ
Discipline: Life sciences
Edited by: Xu Xun
Frequency: Continuous
History: Since 2012

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

GigaDB and GigaGalaxy

Disciplinary repository
Galaxy Galaxy (computational biology)

Abstracting and indexing

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 GigaScience connects Entity context

The extracted context around GigaScience shows recurring relationship patterns in the source. For example, GigaScience → Galaxy, Galaxy Series, Galaxy-based, GigaDB, GigaGalaxy, In, The Another extracted example is GigaScience → GIGABJ. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to GigaDB and GigaGalaxy · 7

GigaScience → Galaxy, Galaxy Series, Galaxy-based, GigaDB, GigaGalaxy, In, The

CODEN · 1

GigaScience → GIGABJ

Discipline · 1

GigaScience → Life sciences

Edited by · 1

GigaScience → Xu Xun

Frequency · 1

GigaScience → Continuous

History · 1

GigaScience → Since 2012

Impact factor · 1

GigaScience → 3.9 (2024)

ISO 4 · 1

GigaScience → GigaScience

ISSN · 1

GigaScience → 2047-217X

Language · 1

GigaScience → English

Important terminology

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

Important terminology

journal bgi gigadb research biomed central gigagalaxy publishing 2025 editorial 2012 life sciences beijing genomics institute press oxford university xu

GigaScience relationships Subject–Predicate–Object triples

TTTA extracted 22 structured relationships around GigaScience. Examples in this analysis include GigaScience → CODEN → GIGABJ and GigaScience → Discipline → Life sciences. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
GigaScience	CODEN	GIGABJ	1.00	infobox
GigaScience	Discipline	Life sciences	1.00	infobox
GigaScience	Edited by	Xu Xun	1.00	infobox
GigaScience	Frequency	Continuous	1.00	infobox
GigaScience	History	Since 2012	1.00	infobox
GigaScience	Impact factor	3.9 (2024)	1.00	infobox
GigaScience	ISO 4	GigaScience	1.00	infobox
GigaScience	ISSN	2047-217X	1.00	infobox
GigaScience	Language	English	1.00	infobox
GigaScience	LCCN	2013243152	1.00	infobox
GigaScience	License	Creative Commons Attribution 4.0	1.00	infobox
GigaScience	OCLC no.	835660742	1.00	infobox
GigaScience	Open access	Yes	1.00	infobox
GigaScience	Publisher	Oxford University Press and the Beijing Genomics Institute	1.00	infobox
GigaScience	is a	peer-reviewed scientific journal that was established in 2012	0.90	text

Related concept clusters Concept neighborhoods

The concept neighborhoods around GigaScience bring nearby vocabulary together. In this analysis, examples include Access, Oxford and Press. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

GigaScience
- Access
- Oxford
- Press
- University
- Gigadb
- Journal
- Established
- Peer-reviewed
- Scientific
- Beijing
- Covers
- Data-sets
gigascience
- Access
- Oxford
- Press
- University
- Gigadb
- Journal
- Established
- Peer-reviewed
- Scientific
- Beijing
- Covers
- Data-sets
scientific journal
- Established
- Peer-reviewed
- Citation
- Biomed
- Central
- Gigagalaxy
- Gigascience
- Co-published
- Journal
- Originally
- Scientific
- Access
gigascience press
- University
- Access
- Oxford
- Press
- Factor
- Gigadb
- Impact
- Publisher
- Sciences
- Xu
- Xun
- Journal
beijing genomics institute
- Genomics
- Institute
- Co-published
- Originally
- Access
- Factor
- Impact
- Life
- Oxford
- Press
- Publisher
- Sciences
journal citation reports
- Factor
- Impact
- Citation
- Journal
- Biomed
- Central
- Gigagalaxy
- Co-published
- Originally
- Peer-reviewed
- Scientific
- Access
life sciences
- Sciences
- Result
- Work
- Access
- Beijing
- Factor
- Genomics
- Impact
- Institute
- Oxford
- Press
- Publisher
bgi group
- Biomed
- Central
- Co-published
- Editor-in-chief
- Originally
- Editorial
- Genomics
- Institute
- Oxford
- Press
- Publisher
- University

Connections between topic areas Semantic bridges

For GigaScience, one of the stronger structural bridges in this analysis connects GigaScience 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

GigaScience — Overview · splits 15 ⟂ 15

GigaScience — Abstracting and indexing · splits 19 ⟂ 11

GigaScience — GigaDB and GigaGalaxy · splits 27 ⟂ 3

Map overview Semantic statistics

GigaScience

Nodes30

Edges29

Triples22

Avg. degree1.93

Density0.066667

Components1

Source & methodology

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

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