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The Reference Sequence (RefSeq) database is an open access, annotated and curated collection of publicly available nucleotide sequences (DNA, RNA) and their protein products. RefSeq was introduced in 2000. This database is built by National Center for Biotechnology Information (NCBI), and, unlike GenBank, provides only a single record for each natural…
The analysis highlights Products, Technology and Regions as prominent areas in the source structure around RefSeq.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around RefSeq shows recurring relationship patterns in the source. For example, RefSeq → Chapter, Database, For, Table, The, The Reference Sequence Another extracted example is RefSeq → CCDS, Consensus CDS, EMBL-EBI, NCBI, Several, This. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
project sequences genbank database transcripts dna ncbi sequence rna protein organisms genomic gene data available national center biotechnology information set
TTTA extracted 30 structured relationships around RefSeq. Examples in this analysis include RefSeq → Description → curated non-redundant sequence database of genomes. and RefSeq → Primary citation → Pruitt KD & al. (2005). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| RefSeq | Description | curated non-redundant sequence database of genomes. | 1.00 | infobox |
| RefSeq | Primary citation | Pruitt KD & al. (2005) | 1.00 | infobox |
| RefSeq | Research center | National Center for Biotechnology Information | 1.00 | infobox |
| RefSeq | Website | https://www.ncbi.nlm.nih.gov/refseq/ | 1.00 | infobox |
| EMBL-EBI | instance of | often in collaboration with research centers | 0.80 | text |
| influenza virus | instance of | It is a specific resource of sequence data processing pipelines and analysis tools for display and retrieval of sequences from several viral groups | 0.80 | text |
| ebolavirus | instance of | It is a specific resource of sequence data processing pipelines and analysis tools for display and retrieval of sequences from several viral groups | 0.80 | text |
| MERS coronavirus or Zika virus | instance of | It is a specific resource of sequence data processing pipelines and analysis tools for display and retrieval of sequences from several viral groups | 0.80 | text |
| comparative genomics or exchange of clinical variant data.MANE | instance of | this complexity is problematic for studies | 0.80 | text |
| RefSeq | related to External links | RefSeqGenBank | 0.60 | section |
| RefSeq | related to External links | TPA | 0.60 | section |
| RefSeq | related to External links | UniProt | 0.60 | section |
The concept neighborhoods around RefSeq bring nearby vocabulary together. In this analysis, examples include Sequence, Transcripts and Aims. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For RefSeq, one of the stronger structural bridges in this analysis connects RefSeq with RefSeq Projects. 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 RefSeq to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products, Technology & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — RefSeq · EN edition · Analysis: TopicsToTalkAbout