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Sequence Alignment Map (SAM) is a text-based format originally for storing biological sequences aligned to a reference sequence developed by Heng Li and Bob Handsaker et al. It was developed when the 1000 Genomes Project wanted to move away from the MAQ mapper format and decided to design a new format. The overall TAB-delimited flavour of the format came…
The analysis highlights Overview, Format and Description as prominent areas in the source structure around SAM (file format).
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 SAM (file format) shows recurring relationship patterns in the source. For example, SAM (file format) → 1000 Genomes Project, Alec Wysoker, Bob Handsaker, Gabor Marth, Gonçalo Abecasis, Heng Li, Jue Ruan, Nils Homer, Richard M. Durbin, Tim Fennell Another extracted example is SAM (file format) → Tab-separated values. 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.
format alignment sam template sequence read field quality reference next 1000 genomes project rname base developed must flag one assumptions
TTTA extracted 14 structured relationships around SAM (file format). Examples in this analysis include SAM (file format) → Developed by → Heng Li and SAM (file format) → Developed by → Bob Handsaker. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| SAM (file format) | Developed by | Heng Li | 1.00 | infobox |
| SAM (file format) | Developed by | Bob Handsaker | 1.00 | infobox |
| SAM (file format) | Developed by | Alec Wysoker | 1.00 | infobox |
| SAM (file format) | Developed by | Tim Fennell | 1.00 | infobox |
| SAM (file format) | Developed by | Jue Ruan | 1.00 | infobox |
| SAM (file format) | Developed by | Nils Homer | 1.00 | infobox |
| SAM (file format) | Developed by | Gabor Marth | 1.00 | infobox |
| SAM (file format) | Developed by | Gonçalo Abecasis | 1.00 | infobox |
| SAM (file format) | Developed by | Richard M. Durbin | 1.00 | infobox |
| SAM (file format) | Developed by | 1000 Genomes Project | 1.00 | infobox |
| SAM (file format) | Extended from | Tab-separated values | 1.00 | infobox |
| SAM (file format) | Filename extension | .mw-parser-output .monospaced{font-family:monospace,monospace} .sam | 1.00 | infobox |
| SAM (file format) | Type of format | Bioinformatics | 1.00 | infobox |
| SAM (file format) | Website | samtools.github.io/hts-specs/ | 1.00 | infobox |
The concept neighborhoods around SAM (file format) bring nearby vocabulary together. In this analysis, examples include Format, Sam and Developed. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For SAM (file format), one of the stronger structural bridges in this analysis connects SAM (file format) 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 SAM (file format) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Format & Description, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — SAM (file format) · EN edition · Analysis: TopicsToTalkAbout