Genetics
A discipline is a lens, not an owner — the same idea can be viewed through many.
Concepts viewed through this lens
These numbers describe the current Thinking OS knowledge slice, not the whole field.
Disciplines it bridges to
Each bridge is built by ideas the two fields share, the thinking patterns that recur across both, and a representative relationship that shows how they connect.
Geneticsconnects toBiology
Shared concepts
Shared thinking patterns
Why this bridge exists
Gene regulatory network emerges from Gene expression — Genes switch each other.
Explore this connection →Geneticsconnects toMolecular Biology
Shared concepts
Shared thinking patterns
Why this bridge exists
Gene regulatory network emerges from Gene expression — Genes switch each other.
Explore this connection →Geneticsconnects toMicrobiology
Shared concepts
Shared thinking patterns
Why this bridge exists
Resistome emerges from Horizontal gene transfer — resistome emerges from horizontal gene transfer.
Explore this connection →Geneticsconnects toEvolutionary Biology
Shared concepts
Shared thinking patterns
Why this bridge exists
Mutation enables Natural selection — mutation enables Natural selection.
Explore this connection →Geneticsconnects toCell Biology
Shared thinking patterns
Geneticsconnects toBioinformatics
Shared thinking patterns
Why this bridge exists
Metagenomics depends on DNA — metagenomics depends on DNA.
Explore this connection →Geneticsconnects toComputer Science
Shared thinking patterns
Why this bridge exists
DNA is analogous to Algorithm — DNA is like an algorithm the cell runs.
Explore this connection →Geneticsconnects toBiochemistry
Shared concepts
Shared thinking patterns
Why this bridge exists
Genetic code enables Protein — Genetic code enables protein.
Explore this connection →
Field shape — representation health
61/100 overall · 35 concepts
The eight dimensions measure Thinking OS coverage of this field, not the quality or importance of the discipline.
What kind of structure is this field?
Interpreted from the current atlas — how this field is represented, not a judgement of the field.
Representation health 61/100 — dense but shallow. Strongest: cross-disciplinary, taxonomy. Thinnest: factual depth.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
Its 61 representation-health is above the 61 median of 39 similarly-sized disciplines (comparable by concept count).
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
64% of its relations reach into 27 other disciplines — an outward-facing field in the atlas.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
Current atlas gaps: no equations stored.
atlas representation · Measures the current Thinking OS representation, not the quality or importance of the field.
43% of its concepts have a single connection (mean internal degree 1.4) — a moderately connected internal structure.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
How this lens connects
The kinds of relationship that characterise this discipline lens in the current slice.
Coverage matrix
How these concepts distribute across domains and concept families — real counts, not a score.
Knowledge timeline
Real, sourced key dates of these concepts.
- 1866Mendelian inheritance · Publication · Biology
- 1953DNA · Discovery · Molecular Biology
Ideas that connect this discipline outward
Concepts viewed through this lens that reach disciplines it does not itself carry — concept-level bridges (distinct from the discipline-to-discipline bridges below).
- DNAreachesAlgorithmsAstrobiologyBiologyBiotechnologyCommunication ScienceComputational BiologyComputer ScienceData StructuresDiscrete MathematicsHistoryInformation TheoryLogicMathematicsMicrobiologySoftware EngineeringTheory of Computation
- Bacterial chromosomereachesBiochemistryBioinformaticsBiologyCell BiologyEvolutionary BiologyMolecular BiologyVirology
- GenereachesBiochemistryBiologyBiomedical ScienceBiotechnologyEthicsMedicine
- Horizontal gene transferreachesBiologyEcologyEvolutionary BiologyMicrobiologyMolecular BiologyPublic Health
- ChromosomereachesBiochemistryBioinformaticsCell BiologyEvolutionary BiologyMolecular Biology
- AllelereachesBioinformaticsCell BiologyEvolutionary BiologyMolecular Biology
Mental models that recur here
Probability ×3
A way to reason about uncertainty by assigning each possible outcome a share of the whole, between impossible (0) and certain (1).
Information ×2
Anything that reduces uncertainty. It can be encoded into a signal, sent across a channel, and decoded — and noise can corrupt it on the way.
Variation & selection ×2
When many varying candidates are filtered by a criterion and the survivors are copied, the population adapts to the criterion over rounds — with no designer.
Emergence ×1
When many simple parts interacting by simple rules produce a pattern or behaviour that none of the parts has on its own.
People represented in this atlas
People tagged with this lens who have a recorded contribution. Not exhaustive, and not a ranking.
- Gregor Mendel
1822–1884
- August Weismann
1834–1914
- Hugo de Vries
1848–1935
- Wilhelm Johannsen
1857–1927
- Theodor Boveri
1866–present
- Erich von Tschermak
1871–1962
- Frederick Griffith
1877–1941
- Barbara McClintock
1902–1992
- Conrad Hal Waddington
1905–1975
- 35 concepts are viewed through this lens.
- 11 of them bridge into other disciplines.
- Its signature thinking pattern is “Probability” (recurs in 3 concepts).
- The most common kind of connection here is “Kind & structure”.
- It is most tightly linked to Biology.
Derived from the current graph structure — observations, not a judgement of the field.