Genomics

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Genomics topic overview

The analysis highlights History, Applications and Research as prominent areas in the source structure around Genomics.

Related topics: 204
Source areas: 5
Connected nodes: 211
Extracted relationships: 64
Related term clusters: 52
Bridge connections: 211

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 · 86 topics

Overview · 50 topics

Applications · 30 topics

Research areas · 26 topics

Genome analysis · 12 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.

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Genomics

5Bioinformatics · DNA sequencing · Genome

3Sanger method · Genomics · Pipeline (computing)

5Molecular biology · DNA · Genetics

27Epistasis · Pleiotropy · Heterosis

6Genome project · Gene · Transcription (genetics)

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.

History

Genome analysis

For the semantics nerds

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

Advanced semantic analysis

How Genomics connects Entity context

The extracted context around Genomics shows recurring relationship patterns in the source. For example, Genomics → August, Brigham, Broad Institute, Euan Ashley, Harvard Medical School, Howard Jacob, Massachusetts General Hospital, Medical College, Next-generation, Preventive Genomics Clinic, Stanford, The All, The Genomes2People, UK Biobank, Us, Wisconsin, Women's Hospital Another extracted example is Genomics → Bar Harbor, English, German Genom, Greek, Hans Winkler, Jackson Laboratory, James, Maine, Maryland, Stephen O'Brien, Tom Roderick, Tom Shows, Womack. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Genomic medicine · 17

Genomics → August, Brigham, Broad Institute, Euan Ashley, Harvard Medical School, Howard Jacob, Massachusetts General Hospital, Medical College, Next-generation, Preventive Genomics Clinic, Stanford, The All, The Genomes2People, UK Biobank, Us, Wisconsin, Women's Hospital

related to Etymology · 13

Genomics → Bar Harbor, English, German Genom, Greek, Hans Winkler, Jackson Laboratory, James, Maine, Maryland, Stephen O'Brien, Tom Roderick, Tom Shows, Womack

related to Epigenomics · 5

Genomics → DNA, Epigenetic, Epigenomics, Russell, Two

related to Population and conservation genomics · 5

Genomics → Conservationists, DNA, PCR, Population, Similarly

related to Functional genomics · 3

Genomics → DNA, Functional, RNA

related to Metagenomics · 3

Genomics → Metagenomics, Recent, Sanger

is a · 2

Genomics → field of molecular biology that attempts to make use of the vast wealth of data produced by genomic projects, interdisciplinary field of molecular biology focusing on the structure

related to The "omics" revolution · 2

Genomics → Jonathan Eisen, The English-language

related to Structural genomics · 1

Genomics → Structural

Important terminology

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

Important terminology

genome sequencing dna sequence genomic genomes gene sequences biology structure protein research also sequenced genes shotgun annotation analysis genetics data

Genomics relationships Subject–Predicate–Object triples

TTTA extracted 64 structured relationships around Genomics. Examples in this analysis include Genomics → is a → interdisciplinary field of molecular biology focusing on the structure and Genomics → is a → field of molecular biology that attempts to make use of the vast wealth of data produced by genomic projects. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Genomics	is a	interdisciplinary field of molecular biology focusing on the structure	0.90	text
Genomics	is a	field of molecular biology that attempts to make use of the vast wealth of data produced by genomic projects	0.90	text
organs	instance of	proteins make up body structures	0.80	text
tissues as well as control chemical reactions	instance of	proteins make up body structures	0.80	text
carry signals between cells	instance of	proteins make up body structures	0.80	text
the brain.The field also includes studies of intragenomic	instance of	Advances in genomics have triggered a revolution in discovery-based research and systems biology to facilitate understanding of even the most complex biological systems	0.80	text
Joint Genome Institute which sequence dozens of terabases a year	instance of	ranging from large independent institutions	0.80	text
to local molecular biology core facilities	instance of	ranging from large independent institutions	0.80	text
PacBio or Oxford Nanopore routinely generate sequencing reads 10	instance of	Third generation sequencing technologies	0.80	text
gene transcription	instance of	Functional genomics focuses on the dynamic aspects	0.80	text
translation	instance of	Functional genomics focuses on the dynamic aspects	0.80	text
and protein	instance of	Functional genomics focuses on the dynamic aspects	0.80	text

Related concept clusters Related term clusters

The concept neighborhoods around Genomics bring nearby vocabulary together. In this analysis, examples include Functional, Protein and Biology. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Genomics
- Functional
- Protein
- Biology
- Genetics
- Research
- Genomic
- Structure
- Structural
- Genome
- Methods
- Use
- Gene
genomics
- Functional
- Protein
- Biology
- Genetics
- Research
- Genomic
- Structure
- Structural
- Genome
- Methods
- Use
- Gene
dna
- Sequencing
- Sequence
- Method
- Analysis
- Nucleotides
- Used
- Sequences
- Genomes
- Shotgun
- Methods
- Structure
- Genomics
dna sequencing
- Sequencing
- Shotgun
- Sequence
- Method
- Analysis
- Nucleotides
- High-throughput
- Genomic
- Research
- Sequences
- Gene
- Functional
systems biology
- Molecular
- Genomics
- Genomic
- Field
- Functional
- Genetics
- Protein
- Research
- Gene
- Large
- Structural
- Analysis
dna polymerase
- Sequencing
- Sequence
- Method
- Analysis
- Nucleotides
- Used
- Sequences
- Genomes
- Shotgun
- Methods
- Structure
- Genomics
dna replication
- Sequencing
- Sequence
- Method
- Analysis
- Nucleotides
- Used
- Sequences
- Genomes
- Shotgun
- Methods
- Structure
- Genomics
high-throughput sequencing
- Shotgun
- Approaches
- Methods
- Functional
- High-throughput
- Sequencing
- Method
- Genomic
- Research
- Sequences
- Gene
- Sequence

Connections between topic areas Semantic bridges

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

Genomics — History · splits 125 ⟂ 87

Genomics — Overview · splits 160 ⟂ 52

Genomics — Applications · splits 181 ⟂ 31

Genomics — Research areas · splits 184 ⟂ 28

Genomics — Genome analysis · splits 199 ⟂ 13

Map overview Semantic statistics

Genomics

Nodes212

Edges211

Triples64

Avg. degree1.99

Density0.009434

Components1

Source & methodology

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

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

Genomics: History, Applications & Research

Genomics 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

History

Genome analysis

Research areas

Applications

For the semantics nerds

Advanced semantic analysis

How Genomics connects Entity context

Genomics

Top relations

Important terminology

Important terminology

Genomics relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Genomics

Source & methodology