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Two biological replicates were carried out for each condition and the data were analyzed using the Mann-Whitney U test, correcting for multiple hypothesis testing with the Benjamini-Hochberg procedure [ 30].
In wild-type embryos, a significantly lower proportion BrdU+ cells expressed the pku588 transgene in the right dHb when compared with the left (pleft versus right < 0.05, ANOVA with Tukey-Kramer post test, correcting for effects due to age, which were not significant).
Finally we assessed the significance between conditions with a nonparametric Monte Carlo randomization cluster test correcting for the multiple comparisons between electrodes and time-windows (see Methods for details).
Significance of gene conversion was determined by a permutation test correcting for multiple comparisons.
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The effects of data smoothing and miscalibration were assessed with paired-sample t test, corrected for multiple comparisons (Bonferroni).
The results of Student's t test, corrected for multiple comparisons, are shown: *p < 0.05, **p < 0.001.
This p-value would correspond to a multiple test corrected p≈0.05.
Statistical comparisons of Survivin IHC staining were performed using a Chi Square test corrected for multiple testing.
Statistical significance was determined using the χ2 test, corrected for multiple comparisons by the Holm-Bonferroni method [35].
The adjusted test corrects the significance level.
Benjamini-Hochberg multiple test corrected p values are shown only.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com