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Exome sequencing: Applications & Regions

Exome sequencing, also known as whole exome sequencing (WES), is a genomic technique for sequencing all of the protein-coding regions of genes in a genome (known as the exome). It consists of two steps: the first step is to select only the subset of DNA that encodes proteins. These regions are known as exons—humans have about 180,000 exons, constituting…

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Exome sequencing topic overview

The analysis highlights Applications and Regions as prominent areas in the source structure around Exome sequencing.

Related topics
73
Source areas
7
Connected nodes
80
Extracted relationships
64
Related term clusters
30
Bridge connections
80

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 · 34 topics
Applications of exome sequencing · 16 topics
Data analysis · 12 topics
Motivation and comparison to other approaches · 4 topics
Comparison with other technologies · 3 topics
Technical methodology · 3 topics
Ethical implications · 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.

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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

Motivation and comparison to other approaches

Technical methodology

Comparison with other technologies

Data analysis

Ethical implications

Applications of exome sequencing

For the semantics nerds

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

Advanced semantic analysis

How Exome sequencing connects Entity context

The extracted context around Exome sequencing shows recurring relationship patterns in the source. For example, Exome sequencing → BGI, CLIA-certified, Consumers, DNADTC, Gene, Genos, In June, In November, In October, Knome, Later, Multiple, September, WES Another extracted example is Exome sequencing → DNA, HiSeq, II, Illumina MiSeq, Illumina's Illumina Genome Analyzer, Life Technologies Ion Torrent, Life Technologies SOLiD, Next Generation Sequencing, NGS, NovaSeq, Roche, Sanger. Use these groups to spot repeated connection types before inspecting the individual relationships.

Exome sequencing

Top relations

related to Commercial costs · 14
Exome sequencing → BGI, CLIA-certified, Consumers, DNADTC, Gene, Genos, In June, In November, In October, Knome, Later, Multiple, September, WES
related to Step 2: Sequencing · 12
Exome sequencing → DNA, HiSeq, II, Illumina MiSeq, Illumina's Illumina Genome Analyzer, Life Technologies Ion Torrent, Life Technologies SOLiD, Next Generation Sequencing, NGS, NovaSeq, Roche, Sanger
related to Clinical diagnostics · 5
Exome sequencing → Analysis, Exome, Identification, Knowledge, XIAP
related to Microarray-based genotyping · 5
Exome sequencing → Although, DNA, Hence, Microarrays, WES
related to Rare variant mapping in complex disorders · 5
Exome sequencing → Alopecia Areata, Current, Exome, KRT82, Whole
related to Step 1: Target-enrichment strategies · 5
Exome sequencing → DGS, DNA, Several, Target-enrichment, Though
related to Motivation and comparison to other approaches · 4
Exome sequencing → Exome, Furthermore, Mendelian, SNP
related to Discovery of Mendelian disorders · 3
Exome sequencing → Exome, In Mendelian, Mendelian
instance of · 1
Exome sequencing → With approaches
related to Ethical implications · 1
Exome sequencing → New

Important terminology

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

Important terminology

sequencing exome variants genes rare identify genetic whole genome dna gene disease used needed genomic common citation syndrome regions variant

Exome sequencing relationships Subject–Predicate–Object triples

TTTA extracted 64 structured relationships around Exome sequencing. Examples in this analysis include SNP arrays can only detect shared genetic variants that are common to many individuals in the wider population → instance of → techniques and whole genome sequencing → instance of → which can be found using other methods. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
SNP arrays can only detect shared genetic variants that are common to many individuals in the wider populationinstance oftechniques0.80text
whole genome sequencinginstance ofwhich can be found using other methods0.80text
dbSNPinstance ofin public databases0.80text
exome sequencinginstance ofWith approaches0.80text
it is possible to significantly enhance the data generated from individual genomes which has put forth a series of questions on how to deal with the vast amount of informationinstance ofWith approaches0.80text
non-synonymous mutationsinstance ofThey looked at variants that have the potential to be pathogenic0.80text
splice acceptorinstance ofThey looked at variants that have the potential to be pathogenic0.80text
donor sitesinstance ofThey looked at variants that have the potential to be pathogenic0.80text
short coding insertions or deletionsinstance ofThey looked at variants that have the potential to be pathogenic0.80text
Exome sequencingrelated to Clinical diagnosticsExome0.60section
Exome sequencingrelated to Clinical diagnosticsIdentification0.60section
Exome sequencingrelated to Clinical diagnosticsAnalysis0.60section

Related concept clusters Related term clusters

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

  • Exome sequencing
    • Sequencing
    • Whole
    • Used
    • Identify
    • Genome
    • Rare
    • Needed
    • Variants
    • Genes
    • Citation
    • Gene
    • Analysis
  • genomic
    • Regions
    • Interest
    • Dna
    • Capture
    • Known
    • Citation
    • Needed
    • Associated
    • Methods
    • Used
    • Genes
    • Sequencing
  • genes
    • Variant
    • Citation
    • Identify
    • Disorders
    • Needed
    • Rare
    • Variants
    • Disease
    • Coding
    • Methods
    • Number
    • Sequencing
  • exome
    • Sequencing
    • Whole
    • Used
    • Identify
    • Genome
    • Rare
    • Needed
    • Variants
    • Genes
    • Citation
    • Gene
    • Studies
  • comparative genomic hybridization
    • Regions
    • Interest
    • Dna
    • Capture
    • Known
    • Citation
    • Needed
    • Associated
    • Methods
    • Used
    • Genes
    • Sequencing
  • genetic heterogeneity
    • Variants
    • Disease
    • Identify
    • Rare
    • Citation
    • Sequencing
    • Needed
    • Clinical
    • Known
    • Number
    • Technologies
    • Whole
  • genetic association
    • Variants
    • Disease
    • Identify
    • Rare
    • Citation
    • Sequencing
    • Needed
    • Clinical
    • Known
    • Number
    • Technologies
    • Whole
  • data analysis
    • Analysis
    • Data
    • Studies
    • Variant
    • Rare
    • Sequencing
    • Clinical
    • Disorders
    • Genes
    • Sequence
    • Whole
    • Identify

Connections between topic areas Semantic bridges

For Exome sequencing, one of the stronger structural bridges in this analysis connects Exome sequencing 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
Exome sequencing — Overview · splits 46 ⟂ 35
Exome sequencing — Applications of exome sequencing · splits 64 ⟂ 17
Exome sequencing — Data analysis · splits 68 ⟂ 13
Exome sequencing — Motivation and comparison to other approaches · splits 76 ⟂ 5
Exome sequencing — Technical methodology · splits 77 ⟂ 4
Exome sequencing — Comparison with other technologies · splits 77 ⟂ 4

Map overview Semantic statistics

Exome sequencing

Nodes81
Edges80
Triples64
Avg. degree1.98
Density0.024691
Components1

Source & methodology

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

Source: Wikipedia — Exome sequencing · EN edition · Analysis: TopicsToTalkAbout

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