Graph explorer

Explore the knowledge graph

Encoding applies to DNA. Activate to inspect this relation.Gene is part of DNA. Activate to inspect this relation.DNA is a Sequence. Activate to inspect this relation.Algorithm is a Sequence. Activate to inspect this relation.DNA is analogous to Algorithm. Activate to inspect this relation.DNA is part of Chromosome. Activate to inspect this relation.DNA is part of Genome. Activate to inspect this relation.Chromosome is part of Genome. Activate to inspect this relation.Gene is part of Chromosome. Activate to inspect this relation.Transcription depends on DNA. Activate to inspect this relation.DNA is a Nucleic acids. Activate to inspect this relation.Bacterial chromosome is a DNA. Activate to inspect this relation.Plasmid is a DNA. Activate to inspect this relation.Metagenomics applies to Microbial community. Activate to inspect this relation.Metagenomics depends on DNA. Activate to inspect this relation.Metagenomics is commonly confused with Microbial culture. Activate to inspect this relation.MetagenomicsDNAMicrobial communityMicrobial cultureGeneEncodingSequenceBacterial chromosomePlasmidChromosomeGenomeNucleic acidsTranscriptionAlgorithm
Relationship types
Legend
  • Focused concept
  • Connected concept
  • Arrow points from cause / source to effect / target
  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
14 concepts16 relationships20 disciplines4 relation families

Metagenomics

Open concept →

At a glance

Sequencing the pooled DNA of a whole community to study microbes without culturing them.

Disciplines
Microbiology · Bioinformatics
Role in the graph
Cross-disciplinary bridge reaches Biochemistry, Cell Biology, Ecology, Evolutionary Biology, Genetics, Molecular Biology
Relationships
3 · 2 relation families
Mental models
1

Insights from this view

Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.

  • This view connects 20 disciplines: Algorithms, Biochemistry, Bioinformatics, Biology, Cell Biology, Communication Science, Computer Science, Data Structures, Discrete Mathematics, Ecology, Evolutionary Biology, Genetics, History, Information Theory, Logic, Mathematics, Microbiology, Molecular Biology, Software Engineering, Theory of Computation.
  • Metagenomics is a bridge concept — viewed here through Bioinformatics, Microbiology.
  • The connections here span 4 relation families.
  • Information explains 6 concepts in this view (Algorithms, Biochemistry, Bioinformatics, Biology, Cell Biology, Communication Science, Computer Science, Data Structures, Discrete Mathematics, Evolutionary Biology, Genetics, History, Information Theory, Logic, Mathematics, Molecular Biology, Software Engineering, Theory of Computation).

Relationships as a list

The focused concept’s relationships. Pick another concept in the graph above to update this list.

Explore through a different lens

A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.

By discipline

By thinking pattern

By journey

Concept collections

Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.

About this view

What this is

Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.

One fabric

3750 concepts and 5051 typed relations form one connected component — no isolated silo.

How to read it

Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.