Thinking·OS

Graph explorer

Explore the knowledge graph

Algorithm is a Sequence. Activate to inspect this relation.Bacterial chromosome is a DNA. Activate to inspect this relation.Bioinformatics applies to DNA. Activate to inspect this relation.Chromatin is part of DNA. Activate to inspect this relation.Computational biology applies to DNA. Activate to inspect this relation.CRISPR-Cas9 applies to DNA. Activate to inspect this relation.DNA is analogous to Algorithm. Activate to inspect this relation.DNA is a Sequence. Activate to inspect this relation.DNA is a Nucleic acids. 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.Encoding applies to DNA. Activate to inspect this relation.Gene is part of DNA. Activate to inspect this relation.Gene is part of Chromosome. Activate to inspect this relation.Genetic engineering applies to DNA. Activate to inspect this relation.Human Genome Project applies to DNA. Activate to inspect this relation.Metagenomics applies to Microbial community. Activate to inspect this relation.Metagenomics is commonly confused with Microbial culture. Activate to inspect this relation.Metagenomics depends on DNA. Activate to inspect this relation.Alternative genetic polymer is analogous to DNA. Activate to inspect this relation.Plasmid is a DNA. Activate to inspect this relation.RNA is derived from DNA. Activate to inspect this relation.Transcription depends on DNA. Activate to inspect this relation.MetagenomicsDNAMicrobial communityMicrobial cultureGeneEncodingSequenceBacterial chromosomePlasmidNucleic acidsChromosomeGenomeTranscriptionAlgorithmRNABioinformaticsChromatinComputational biologyCRISPR-Cas9Genetic engineeringHuman Genome ProjectAlternative genetic polymer
Relationship types

9 concepts viewed through this lens. Bridge concepts connect this view to Algorithms, Astrobiology, Biochemistry, Biology….

Legend
  • Focused concept
  • Connected concept
  • Bridge concept (just outside the lens)
  • 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
22 concepts23 relationships23 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

What am I looking at?

In this lens (9)

Bridge concepts (31)

Just outside the lens — they connect it to other context.

  • Algorithm2
    Algorithms, Computer Science, Discrete Mathematics, Logic, Mathematics, Software Engineering, Theory of Computation · connects to DNA, Sequence
  • Chromosome2
    Biology, Genetics · connects to DNA, Gene
  • Microbial community2
    Ecology, Microbiology · connects to 16S rRNA sequencing, Metagenomics
  • Protein2
    Biochemistry, Biology · connects to AlphaFold, Proteomics
  • Allele1
    Biology, Genetics · connects to Gene

Insights from this view

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

  • This view connects 23 disciplines: Algorithms, Astrobiology, Biochemistry, Bioinformatics, Biology, Biotechnology, Cell Biology, Communication Science, Computational Biology, 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 7 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

ChemistryBiologyPhysicsMathematicsComputer ScienceGeologyMineralogyEconomics

By thinking pattern

Bayesian updatingCause and effectCompoundingConservationConstraintsDefense in depthDiffusion & spreadEmergenceEnergy transformationEntropy & irreversibilityEquilibriumFeedback loopIncentivesInformationLevels & hierarchyModularityNetworksOptimizationOscillationProbabilityRecursion & self-similarityScaleSignal vs noiseSource–pathway–receptorStocks and flowsSymmetry & invarianceThresholds & tipping pointsTrade-offsTriangulationVariation & selectionWaves

By journey

From a Leaf to the ClimateWhy Music Moves UsHow Machines LearnReasoning about a Leaf and the Climate

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.