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 .