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End-sequence profiling (ESP) (sometimes "Paired-end mapping (PEM)") is a method based on sequence-tagged connectors developed to facilitate de novo genome sequencing to identify high-resolution copy number and structural aberrations such as inversions and translocations.
The analysis highlights History and Applications as prominent areas in the source structure around End-sequence profiling.
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The extracted context around End-sequence profiling shows recurring relationship patterns in the source. For example, End-sequence profiling → Accurate, BIPES, BreakDancer, Common, ESP, GASV, Illumina, LAW, PEMer, Similar, Spanner, V6, Variation Hunter, Various. Use these groups to spot repeated connection types before inspecting the individual relationships.
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genome esp reference structural copy bac fragments chromosome variation number used dna artificial mapping sequencing paired-end insertion inversions cnv size
TTTA extracted 24 structured relationships around End-sequence profiling. Examples in this analysis include inversions → instance of → is a method based on sequence-tagged connectors developed to facilitate de novo genome sequencing to identify high-resolution copy number and structural aberrations and bacterial artificial chromosomes → instance of → the fragments are cloned into plasmids to construct artificial chromosomes. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| inversions | instance of | is a method based on sequence-tagged connectors developed to facilitate de novo genome sequencing to identify high-resolution copy number and structural aberrations | 0.80 | text |
| translocations.Briefly | instance of | is a method based on sequence-tagged connectors developed to facilitate de novo genome sequencing to identify high-resolution copy number and structural aberrations | 0.80 | text |
| the target genomic DNA is isolated | instance of | is a method based on sequence-tagged connectors developed to facilitate de novo genome sequencing to identify high-resolution copy number and structural aberrations | 0.80 | text |
| partially digested with restriction enzymes into large fragments | instance of | is a method based on sequence-tagged connectors developed to facilitate de novo genome sequencing to identify high-resolution copy number and structural aberrations | 0.80 | text |
| bacterial artificial chromosomes | instance of | the fragments are cloned into plasmids to construct artificial chromosomes | 0.80 | text |
| insertions | instance of | can be used to detect structural variations | 0.80 | text |
| deletions | instance of | can be used to detect structural variations | 0.80 | text |
| and chromosomal rearrangement | instance of | can be used to detect structural variations | 0.80 | text |
| inversions | instance of | ESP is particularly useful to identify copy neutral abnormalities | 0.80 | text |
| translocations that would not be apparent when looking at copy number variation | instance of | ESP is particularly useful to identify copy neutral abnormalities | 0.80 | text |
| End-sequence profiling | has application | Various | 0.60 | section |
| End-sequence profiling | has application | Common | 0.60 | section |
The concept neighborhoods around End-sequence profiling bring nearby vocabulary together. In this analysis, examples include Structural, Used and Identify. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For End-sequence profiling, one of the stronger structural bridges in this analysis connects End-sequence profiling 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.
TTTA analyzes the structure around End-sequence profiling 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 — End-sequence profiling · EN edition · Analysis: TopicsToTalkAbout
