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Prism 8.0 program

Manufactured by GraphPad
Sourced in United States

GraphPad Prism 8.0 is a data analysis and scientific graphing software program. It is designed to help researchers analyze, visualize, and present scientific data. The program offers a range of statistical tests, curve fitting, and data visualization tools.

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5 protocols using prism 8.0 program

1

Comparative Parasite Quantification Methodology

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Parasite counts were presented as means ± standard deviation and were graphing using the Graphpad Prism 8.0 Program software. The design was aimed at comparing the treatments and controls of incubations. The measurements are repeated, since the same individuals were measured at two different times. For this analysis, a comparison of paired means was made, taking as pairs the measurements of the two times for each treatment. Second, the differences calculated in the previous step were analyzed by one-way ANOVA in which the 5 treatments are compared to each other, using the Tukey test. All comparisons were made to 5% significance.
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2

Genetic Variants Analysis of IL-18 in Disease

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The quantitative and qualitative parameters of the studied characteristics of the population were done by Student's "t-test" (two groups) & ANOVA (three or more groups) and chi-square test, respectively.
Haploview software was used to analyse the haplotype of IL-18. Logistic regression analysis was used to evaluate the association between the variants and the phenotype. Unless otherwise speci ed, all results are presented as mean ± S.E.M of 4 independent tests. Statistical evaluations were done by making use of the Student's t test in SPSS 21.0 software (IBM, Chicago, IL) and Prism 8.0 program (GraphPad, San Diego, CA), and P < 0.05 was deemed as statistically signi cant.
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3

Proteomic Analysis of Bladder Urothelial Carcinoma

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All proteomic datasets were submitted to the ProteomeXchange Consortium (http://proteomecentral.proteomechange.org) (project ID: PXD016437) [61 (link)]. ToppGene Suite resources (https://toppgene.cchmc.org/) [62 (link)] and String [63 (link)] were used for gene ontology annotation and interaction network model construction, respectively. Cytoscape version 3.7.1 (Institute for Systems Biology, Seattle, WA, USA) [64 (link)] was used for the illustration of the network model. Statistical analyses were conducted using the Perseus software (Max Planck Institute of Biochemistry, Munich, Germany) [65 (link)] for proteomic data. The H-score for ICC validation was analyzed by utilizing the Kruskal–Wallis test and Mann–Whitney U test for the comparison of BUC groups with the GraphPad Prism 8.0 program (GraphPad Software, Inc., CA, USA). The cross-tabulation analysis was conducted by Pearson’s χ2 test and Fisher exact test with IBM SPSS Statistics version 20 (IBM Corp., Armonk, NY, USA). Detailed information is available in Supplementary Methods.
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4

Comparing Campylobacter Rates in Chicken

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To compare rates between groups, the binomial test for two proportions was used at 5% significance (Action Tool (2015) using the R program (R Development Core Team, 2015). The results were used to estimate the public health risk posed by the consumption of the chicken carcasses. Fisher’s exact test was used to compare Campylobacter positivity between the different matrices, forms of preservation (frozen/chilled), inspection systems, commercial brands and years of isolation. The calculations were performed in the GraphPad-Prism 8.0 program.
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5

Analyzing Statistical Significance in BBB Ratings

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Statistical analysis was performed using GraphPad Prism 8.0 Program (Graph Pad Software, San Diego, CA, USA). All the results were presented as mean ± standard error of the mean (SEM) and are representative of at least three independent experiments. Comparisons among groups using one-way analysis of variance (ANOVA) followed by Tukey's post-hoc Test under the premise of Parametric data (normality and equal variance passed), otherwise using Kruskal-Wallis ANOVA. The BBB rating scores were analyzed using two-factor ANOVA followed by Bonferroni post-hoc for repeated measures. P < 0.05 was considered statistically signi cant.
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