Tetrad Segregation Tally

Tally unordered tetrad classes and recombinant-product fraction.

Description

Unordered tetrads can be parental ditypes, nonparental ditypes or tetratypes.

Unordered tetrads can be parental ditypes, nonparental ditypes or tetratypes. Their recombinant-product contribution differs by class.

Tally unordered tetrad classes and recombinant-product fraction.

When to use Tetrad Segregation Tally

Use this for the following task: Tally unordered tetrad classes and recombinant-product fraction.

Prepare the observed records or explicit model parameters requested below. Keep probabilities as fractions and paired records aligned.

How to use Tetrad Segregation Tally and understand its results

  1. Prepare the observed records or explicit model parameters requested below. Keep probabilities as fractions and paired records aligned.
  2. Enter tetradClasses using the field table, then run the tool.
  3. Read parentalDitypes, nonparentalDitypes, tetratypes, recombinationPercent. Interpret flags, units, ordering and placeholder values using the rules below.
  4. Review any reported issue or failed check, correct the supplied values when appropriate, and verify the result in its intended context.
Input fieldMeaningValue type and boundsRequirement
tetradClassesTetrad classeslist of string; each entry: stringRequired

Supply a nonempty list of exact PD, NPD and TT labels. Count each class and compute the recombinant-product fraction.1

recombination% = 100(NPD + TT/2)/totalTetrads

This summarizes the declared operation. Units, indexing, inclusivity and exceptional cases are explained in the surrounding text.

Output fieldMeaningValue type
parentalDitypesParental ditypesnumber
nonparentalDitypesNonparental ditypesnumber
tetratypesTetratypesnumber
recombinationPercentRecombination percentnumber
json
{
  "input": {
    "tetradClasses": [
      "PD",
      "PD",
      "NPD",
      "TT"
    ]
  },
  "output": {
    "parentalDitypes": 2,
    "nonparentalDitypes": 1,
    "tetratypes": 1,
    "recombinationPercent": 37.5
  }
}

Limitations and assumptions

This is not the Perkins corrected map distance and does not classify tetrads from raw spores.

The tool evaluates supplied observations or a declared model. It does not establish the biological cause of an observed pattern. Malformed requests produce input errors. A successfully evaluated request can still contain false flags, empty result lists or a result outside the supplied threshold; those outcomes have the meanings stated above.

Alternative or Complementary methods

Choose Centromere Second Division Distance for this operation: Estimate gene-to-centromere distance as half the ordered-tetrad second-division percentage. For a complementary task, use Double Crossover Coincidence for this operation: Compare observed double crossovers with independent-interval expectation and compute interference.

The implementation reference documents the exact calculation, supported input shapes and returned fields.

References

  1. Tetrad Segregation Tally — tool.io

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