Statistics and reproducibility

SD Stephanie Dobersch
KR Karla Rubio
IS Indrabahadur Singh
SG Stefan Günther
JG Johannes Graumann
JC Julio Cordero
RC Rafael Castillo-Negrete
MH Minh Bao Huynh
AM Aditi Mehta
PB Peter Braubach
HC Hector Cabrera-Fuentes
JB Jürgen Bernhagen
CC Cho-Ming Chao
SB Saverio Bellusci
AG Andreas Günther
KP Klaus T. Preissner
SK Sita Kugel
GD Gergana Dobreva
MW Malgorzata Wygrecka
TB Thomas Braun
DP Dulce Papy-Garcia
GB Guillermo Barreto
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The source data for all the plots presented in the article, including the values for statistical significance and the implemented statistical tests, are provided in Source Data file 01. Further details of statistical analysis in different experiments are included in the Figures and Figure legends. Briefly, protein enrichment on chromatin and expression analysis of samples were analyzed by next generation sequencing in duplicates of one experiment. Three independent experiments of the mass spectrometry-based proteomic approach were performed. For the rest of the experiments presented here, samples were analyzed at least in triplicates and experiments were performed three times. Statistical analysis was performed using GraphPad Prism 5 and Microsoft Excel. Data in bar plots are represented as mean ± standard error (mean ± s.e.m.). t-Tests were used to determine the levels of difference between the groups and P-values for significance. P-values after one- or two-tailed t-test, *P ≤ 0.05; **P ≤ 0.01 and ***P ≤ 0.001. In the Figs. 1b, b,3b,3b, b,4f,4f, f,8b,8b, b,8c8c and Supplementary Figure 9b, P-values were determined using Wilcoxon–Mann–Whitney test. In the 2D Kernel Density plot presented in Fig. 9a the statistical significance was calculated using DESeq2’s integrated Wald test.

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