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Whole genome sequencing: History & Applications

Whole genome sequencing (WGS), also known as full genome sequencing or just genome sequencing, is the process of determining the entirety of the DNA sequence of an organism's genome at a single time. This entails sequencing all of an organism's chromosomal DNA as well as DNA contained in the mitochondria and, for plants, in the chloroplast.

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Whole genome sequencing topic overview

The analysis highlights History and Applications as prominent areas in the source structure around Whole genome sequencing.

Related topics
146
Source areas
8
Connected nodes
154
Extracted relationships
44
Related term clusters
39
Bridge connections
154

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 · 42 topics
Applications · 27 topics
Experimental details · 22 topics
Commercialization · 16 topics
Overview · 16 topics
Public human genome sequences · 13 topics
Ethical concerns · 8 topics
Comparison with other technologies · 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.

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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

History

Experimental details

Commercialization

Comparison with other technologies

Applications

Ethical concerns

Public human genome sequences

For the semantics nerds

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

Advanced semantic analysis

How Whole genome sequencing connects Entity context

The extracted context around Whole genome sequencing shows recurring relationship patterns in the source. For example, Whole genome sequencing → Allan Mayer, David Dimmock, Dr, Drs Jacob, Geneticist Dr, Howard Jacob, IBD, Illumina, July, Lead, MCW, Milwaukee Children's Hospital, Worthey, XIAP Another extracted example is Whole genome sequencing → BabySeq, BabySeq Project, BabySeq2, DNA, Green, Lancet, NIH, UK, Whole. Use these groups to spot repeated connection types before inspecting the individual relationships.

Whole genome sequencing

Top relations

related to Diagnostic use · 14
Whole genome sequencing → Allan Mayer, David Dimmock, Dr, Drs Jacob, Geneticist Dr, Howard Jacob, IBD, Illumina, July, Lead, MCW, Milwaukee Children's Hospital, Worthey, XIAP
related to Newborn screening · 9
Whole genome sequencing → BabySeq, BabySeq Project, BabySeq2, DNA, Green, Lancet, NIH, UK, Whole
related to Rare variant association study · 5
Whole genome sequencing → MAF, Meta-analysis, Single-variant, SNP, Whole
related to Ethical concerns · 3
Whole genome sequencing → February, Illumina's CEO, Jay Flatley
related to Oncology · 2
Whole genome sequencing → Deep, DNA
related to Mutation frequencies · 1
Whole genome sequencing → Whole

Important terminology

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

Important terminology

genome sequencing whole dna human sequence genetic sequenced genomes full citation needed mutation rare genomics data information use also used

Whole genome sequencing relationships Subject–Predicate–Object triples

TTTA extracted 44 structured relationships around Whole genome sequencing. Examples in this analysis include Amoeba dubia → instance of → both unicellular and multicellular and bacterial artificial chromosomes → instance of → Eukaryotic genomes are sequenced by several methods including Shotgun sequencing of short DNA fragments and sequencing of larger DNA clones from DNA libraries. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Amoeba dubiainstance ofboth unicellular and multicellular0.80text
humansinstance ofboth unicellular and multicellular0.80text
bacterial artificial chromosomesinstance ofEukaryotic genomes are sequenced by several methods including Shotgun sequencing of short DNA fragments and sequencing of larger DNA clones from DNA libraries0.80text
Illumina dye sequencinginstance ofsequencing technologies0.80text
pyrosequencinginstance ofsequencing technologies0.80text
and SMRT sequencinginstance ofsequencing technologies0.80text
genetic discriminationinstance ofgenetic testing has potential downsides0.80text
loss of anonymityinstance ofgenetic testing has potential downsides0.80text
and psychological impacts such as discovery of non-paternity.Some ethicists insist that the privacy of individuals undergoing genetic testing must be protectedinstance ofgenetic testing has potential downsides0.80text
and is of particular concern when minors undergo genetic testinginstance ofgenetic testing has potential downsides0.80text
Whole genome sequencingrelated to Diagnostic useIllumina0.60section
Whole genome sequencingrelated to Diagnostic useJuly0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Whole genome sequencing bring nearby vocabulary together. In this analysis, examples include Genome, Whole and Sequencing. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Whole genome sequencing
    • Genome
    • Whole
    • Sequencing
    • Full
    • Dna
    • Citation
    • Needed
    • Sequenced
    • Cost
    • Per
    • Single
    • Genomes
  • the institute for genomic research
    • Used
    • Genomics
    • Infants
    • Medical
    • Clinical
    • Sequence
    • Sequencing
    • Sequenced
    • Complete
    • Genomic
    • Research
    • Variants
  • whole genome sequencing
    • Sequencing
    • Genome
    • Whole
    • Human
    • Dna
    • Sequenced
    • Full
    • Sequence
    • Genomes
    • Citation
    • Needed
    • Genetic
  • dna
    • Sequencing
    • Genome
    • Full
    • Information
    • Whole
    • Citation
    • Needed
    • Genomes
    • Human
    • Single
    • Sequence
    • Genetic
  • genome
    • Sequencing
    • Whole
    • Human
    • Sequenced
    • Dna
    • Full
    • Sequence
    • Citation
    • Needed
    • Genomes
    • Illumina
    • Research
  • gene sequencing
    • Whole
    • Dna
    • Full
    • Genomes
    • Human
    • Citation
    • Needed
    • Genetic
    • Sequence
    • Use
    • Genomic
    • Used
  • dna profiling
    • Sequencing
    • Genome
    • Full
    • Information
    • Whole
    • Citation
    • Needed
    • Genomes
    • Human
    • Single
    • Sequence
    • Genetic
  • whole exome sequencing
    • Genome
    • Sequencing
    • Whole
    • Dna
    • Full
    • Genomes
    • Human
    • Citation
    • Needed
    • Genetic
    • Sequenced
    • Cost

Connections between topic areas Semantic bridges

For Whole genome sequencing, one of the stronger structural bridges in this analysis connects Whole genome sequencing 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
Whole genome sequencing — History · splits 112 ⟂ 43
Whole genome sequencing — Applications · splits 127 ⟂ 28
Whole genome sequencing — Experimental details · splits 132 ⟂ 23
Whole genome sequencing — Overview · splits 138 ⟂ 17
Whole genome sequencing — Commercialization · splits 138 ⟂ 17
Whole genome sequencing — Public human genome sequences · splits 141 ⟂ 14
Whole genome sequencing — Ethical concerns · splits 146 ⟂ 9
Whole genome sequencing — Comparison with other technologies · splits 152 ⟂ 3

Map overview Semantic statistics

Whole genome sequencing

Nodes155
Edges154
Triples44
Avg. degree1.99
Density0.012903
Components1

Source & methodology

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

Source: Wikipedia — Whole genome sequencing · EN edition · Analysis: TopicsToTalkAbout

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