Expression of genes involved in nodule development in Datisca glomerata
datasetposted on 07.08.2019 by Marco Guedes Salgado
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
The dataset shows the statistical analysis organized in a spreadsheet (Microsoft Excel, 2016) with tabs linking to the Figures present in the manuscript. Differences in gene expression were assessed by analysis of variance (ANOVA). Equality of variances was checked by Levene’s test. For equal variances, one-way ANOVA was fitted to log2-transformed 2^(-ΔΔCq) with treatments as fixed term and biological repeats as random effects accounting for dependencies between treatments. To estimate and adjust for pairwise multiple comparisons, a non-parametric post-hoc Tukey HSD test was applied. For unequal variances, a Welch’s pairwise t-test with Holm’s correction was used. For the assay involving the interaction of two factors, a two-way ANOVA was fitted to the data with “treatments” as a fixed factor in the model. Biological repeats accounted for random effects nested under the interaction term. Statistics were calculated in RStudio (R studio team, 2017).