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Correction to: A statistical framework for analyzing deep mutational scanning data.

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Summary
This summary is machine-generated.

A correction to our previous publication addresses an error in the Enrich2 random-effects model code. This fix prevents overestimation of standard errors in variance calculations.

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Area of Science:

  • Bioinformatics
  • Statistical Genetics

Background:

  • The Enrich2 software is used for analyzing high-throughput sequencing data.
  • Accurate estimation of variance is crucial for statistical power in genetic studies.

Purpose of the Study:

  • To correct a previously published error in the Enrich2 random-effects model.
  • To ensure accurate standard error calculations for variance components.

Main Methods:

  • Code for combining within-replicate and between-replicate variance was re-examined.
  • A missing line of code was identified and corrected.

Main Results:

  • The correction resolves the overestimation of standard errors.
  • Accurate variance component estimation is now achieved.

Conclusions:

  • The corrected Enrich2 model provides reliable standard error estimates.
  • This ensures the validity of downstream statistical analyses in genetic studies.