Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
The Single Nucleotide Polymorphism Database (dbSNP) is a free public archive for genetic variation within and across different species developed and hosted by the National Center for Biotechnology Information (NCBI) in collaboration with the National Human Genome Research Institute (NHGRI).
The analysis highlights Technology, Retrieval and Problems With Data Quality as prominent areas in the source structure around DbSNP.
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.
Explore different angles and find fresh ideas to shape your next piece of content.
Search suggestions related to this topic. Open a question to research it further; suggestions are not verified answers.
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.
You can skip this section if you’re here for content ideas and keyword inspiration.
The extracted context around DbSNP shows recurring relationship patterns in the source. For example, DbSNP → Another, Many, Map, NCBI, OMIM, PMC, PubMed, Sequence, Submission, UniGene, UniSTS Another extracted example is DbSNP → Baker, ID, Individual, Kholodov, NCBI, Nucleic Acids Research, Phan, Sherry, Sirotkin, Smigielski, Ward. 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.
refsnp variation ncbi number snps data records submissions also snp information available database nucleotide research single sequences submitted cluster id
TTTA extracted 75 structured relationships around DbSNP. Examples in this analysis include DbSNP → Data format → ASN.1, FASTA, XML and DbSNP → Description → Single Nucleotide Polymorphism Database. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| DbSNP | Data format | ASN.1, FASTA, XML | 1.00 | infobox |
| DbSNP | Description | Single Nucleotide Polymorphism Database | 1.00 | infobox |
| DbSNP | Download URL | ftp://ftp.ncbi.nih.gov/snp/ | 1.00 | infobox |
| DbSNP | Organisms | Homo sapiens | 1.00 | infobox |
| DbSNP | Release date | 1998 | 1.00 | infobox |
| DbSNP | Research center | National Center for Biotechnology Information | 1.00 | infobox |
| DbSNP | Web service URL | EUtils SOAP | 1.00 | infobox |
| DbSNP | Website | ncbi.nlm.nih.gov/snp/ | 1.00 | infobox |
| physical mapping | instance of | access to the molecular variation cataloged within dbSNP aids basic research | 0.80 | text |
| population genetics | instance of | access to the molecular variation cataloged within dbSNP aids basic research | 0.80 | text |
| investigations into evolutionary relationships | instance of | access to the molecular variation cataloged within dbSNP aids basic research | 0.80 | text |
| as well as being able to quickly | instance of | access to the molecular variation cataloged within dbSNP aids basic research | 0.80 | text |
The concept neighborhoods around DbSNP bring nearby vocabulary together. In this analysis, examples include Ncbi, Research and Variation. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For DbSNP, one of the stronger structural bridges in this analysis connects DbSNP 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 DbSNP to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Technology, Retrieval & Problems With Data Quality, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — DbSNP · EN edition · Analysis: TopicsToTalkAbout
