NSC Quality

Calculate normalized strand cross-correlation and quality gate.

Description

Normalized strand cross-correlation compares a supplied maximum with a background baseline.

Normalized strand cross-correlation compares a supplied maximum with a background baseline.1

Calculate normalized strand cross-correlation and quality gate.

When to use NSC Quality

Use this tool to calculate normalized strand cross-correlation and quality gate.

Prepare the already measured signals, counts, coordinates, fitted coefficients or sequence strings requested. Keep assay definitions, units, aligned lists and caller-selected thresholds consistent.

How to use NSC Quality and understand its results

  1. Prepare the already measured signals, counts, coordinates, fitted coefficients or sequence strings requested. Keep assay definitions, units, aligned lists and caller-selected thresholds consistent.
  2. Enter maximumCrossCorrelation, backgroundCrossCorrelation, minimumNsc using the field table and calculation rules, then run the tool.
  3. Read normalizedStrandCrossCorrelation, passesGate. The explanation below defines the units, signs, ordering and any flags or placeholder values.
  4. If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
Input fieldMeaningValue type; see rules belowRequirement
maximumCrossCorrelationMaximum strand cross-correlationnumber; minimum: 0Required
backgroundCrossCorrelationBackground cross-correlationnumber; minimum: 0Required
minimumNscMinimum NSCnumber; minimum: 0Required

Enter nonnegative maximum/minimum and positive background; return NSC and inclusive gate.

NSC=maximumCorrelation/backgroundCorrelation

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output fieldMeaningValue type
normalizedStrandCrossCorrelationNormalized strand cross-correlationnumber; minimum: 0
passesGatePasses NSC gateboolean
json
{
  "input": {
    "maximumCrossCorrelation": 0.1,
    "backgroundCrossCorrelation": 0.05,
    "minimumNsc": 1.5
  },
  "output": {
    "normalizedStrandCrossCorrelation": 2,
    "passesGate": true
  }
}

Limitations and assumptions

No correlation curve, shifts or assay-specific quality standard is calculated.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors. A successfully returned false flag is an evaluated outcome; its meaning is explained above.

Alternative or Complementary methods

Use Phantom-Peak Quality: Rate fragment versus phantom cross-correlation peaks. For a complementary task, use Fragment Shift Distance: Calculate bimodal strand-peak shift distance.

References

  1. NSC Quality — tool.io

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