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
- Prepare the observed records or explicit model parameters requested below. Keep probabilities as fractions and paired records aligned.
- Enter tetradClasses using the field table, then run the tool.
- Read parentalDitypes, nonparentalDitypes, tetratypes, recombinationPercent. Interpret flags, units, ordering and placeholder values using the rules below.
- Review any reported issue or failed check, correct the supplied values when appropriate, and verify the result in its intended context.
| Input field | Meaning | Value type and bounds | Requirement |
|---|---|---|---|
| tetradClasses | Tetrad classes | list of string; each entry: string | Required |
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 field | Meaning | Value type |
|---|---|---|
| parentalDitypes | Parental ditypes | number |
| nonparentalDitypes | Nonparental ditypes | number |
| tetratypes | Tetratypes | number |
| recombinationPercent | Recombination percent | number |
{
"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
-
Tetrad Segregation Tally — tool.io
Similar or alternative tools
- Centromere Second Division Distance
Estimate gene-to-centromere distance as half the ordered-tetrad second-division percentage.
- Double Crossover Coincidence
Compare observed double crossovers with independent-interval expectation and compute interference.