Comparing bioinformatic approaches to quantifying telomere length
Telomere length estimates for each program were assessed for normality and homogeneity of variance using the Shapiro-Wilk test and Bartlett test, respectively. To achieve normality, telomere length estimates were log10-transformed. However, variances were unequal across computational approaches.
To compare telomere length across the three bioinformatic approaches we used non-parametric Kruskal–Wallis (H ) test due to a significant difference in homogeneity of variance across telomere estimates. Following Kruskal–Wallis test, a post hoc Dunn test was performed to quantify differences between Computel, K-seek, and TRIP. To test if telomere length estimates from the same genotype are similar across the bioinformatic programs we performed Pearson pairwise correlations. All statistical analyses were performed in R v. 4.1.0 .