Alignment Identity Gate

Gate segmental-duplication alignment identity including single-gap columns as mismatches.

Description

Alignment identity depends on which columns count in the denominator.

Alignment identity depends on which columns count in the denominator. Here a gap against a base is a mismatch, while a double-gap column is invalid.

Gate segmental-duplication alignment identity including single-gap columns as mismatches.

When to use Alignment Identity Gate

Use this for the following task: Gate segmental-duplication alignment identity including single-gap columns as mismatches.

Prepare the caller-filtered sequences, counts, coordinates or annotations requested below. Keep identifiers and paired lists aligned on the same reference.

How to use Alignment Identity Gate and understand its results

  1. Prepare the caller-filtered sequences, counts, coordinates or annotations requested below. Keep identifiers and paired lists aligned on the same reference.
  2. Enter firstAlignment, secondAlignment, minimumIdentityFraction using the field table, then run the tool.
  3. Read comparedColumns, matchingColumns, identityFraction, passes. 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
firstAlignmentFirst alignmentstring; minimum text length 1; maximum text length 1000000; pattern ^[ACGTacgt-]+(?![\s\S])Required
secondAlignmentSecond alignmentstring; minimum text length 1; maximum text length 1000000; pattern ^[ACGTacgt-]+(?![\s\S])Required
minimumIdentityFractionMatching nongap bases divided by all columns; single-gap columns count as mismatches.number; minimum 0; maximum 1Required

Supply equal-length supported aligned strings and a fraction threshold. Normalize case, reject double gaps and test identity inclusively against the minimum.1

identity = matching nongap columns/all alignment columns

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

Output fieldMeaningValue type
comparedColumnsCompared columnsinteger
matchingColumnsMatching columnsinteger
identityFractionIdentity fractionnumber
passesPassesboolean
json
{
  "input": {
    "firstAlignment": "AC-GT",
    "secondAlignment": "ACTGT",
    "minimumIdentityFraction": 0.9
  },
  "output": {
    "comparedColumns": 5,
    "matchingColumns": 4,
    "identityFraction": 0.8,
    "passes": false
  }
}

Limitations and assumptions

No alignment is constructed or evolutionary model fitted. The declared gap convention can differ from other tools.

The tool operates on supplied local data; alignment, filtering and annotation must already be appropriate for the stated calculation. 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 CIGAR Operation Summary for this operation: Summarize CIGAR operations and distinguish query-consuming and reference-consuming bases. For a complementary task, use Kaks Selection Screen for this operation: Screen a Ka/Ks ratio relative to a caller-defined neutral band without claiming statistical significance.

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

References

  1. Alignment Identity Gate — tool.io

Similar or alternative tools

  • CIGAR Operation Summary

    Summarize CIGAR operations and distinguish query-consuming and reference-consuming bases.

  • Kaks Selection Screen

    Screen a Ka/Ks ratio relative to a caller-defined neutral band without claiming statistical significance.

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