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Neutral Model Mutant Frequency Step Tool

Apply a supplied net replacement change at fixed population size; no neutral-process sampling distribution is inferred.

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Description

Apply a supplied mutant-count increment at fixed population.

Computational biology distinguishes discrete counts, probabilistic weights, sequence indexes and logical rules. A supplied event or record flag can be summarized without simulating a stochastic process, validating a sequence annotation or establishing a biological mechanism.

Apply a supplied mutant-count increment at fixed population.

When to use this tool

Use Neutral Model Mutant Frequency Step when checking the stated count, sequence, Boolean-rule or support convention.

How to use the tool and how it works

  1. Enter mutants, population, deltaMutants. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read nextMutants, beforeFrequency, afterFrequency. Use the output convention below.

Apply a supplied mutant-count increment at fixed population. Require positive whole population, mutants within it and the incremented count still in bounds; return nextMutants and frequencies before/after.1

Input fieldMeaning and unitsAccepted input
mutantsMutantsRequired. Safe integer; minimum 0.
populationPopulationRequired. Safe integer; minimum 1.
deltaMutantsDelta MutantsRequired. Safe integer.
Output fieldInterpretationReturned shape
nextMutantsNext MutantsRequired. Safe integer.
beforeFrequencyBefore FrequencyRequired. Finite number.
afterFrequencyAfter FrequencyRequired. Finite number.
json
{
  "input": {
    "mutants": 20,
    "population": 100,
    "deltaMutants": 1
  },
  "output": {
    "nextMutants": 21,
    "beforeFrequency": 0.2,
    "afterFrequency": 0.21
  }
}

Limitations and assumptions

  • The increment is supplied rather than sampled; no neutral transition probability or evolutionary trajectory is calculated.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Use the complete sequence, identifier universe or stochastic/logical model for actual inference, sampling and uncertainty analysis.

References

  1. Calculation and input contract: computational-biology/neutral-model-mutant-frequency-step — tool.io

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