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Prism 5 software for windows

Manufactured by GraphPad
Sourced in United States

GraphPad Prism 5 is a data analysis and graphing software for Windows. It provides tools for data organization, statistical analysis, and visualization of scientific data.

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8 protocols using prism 5 software for windows

1

Nisin Delivery System Evaluation

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Statistical analysis was performed using the GraphPad Prism 5 Software for Windows. For storage assays, differences between delivery systems were evaluated using the t-test. Differences between storage temperatures were determined by analysis of variance using the one-way ANOVA followed by Tukey’s post-test. Finally, the influence of storage duration on nisin’s activity was analyzed using linear regression.
For cytotoxicity assays, the cell viability values presented by the suspensions under study were evaluated by analysis of variance using the one-way ANOVA followed by Dunnett’s post-test. A two-tailed p ≤ 0.05 was considered to be statistically significant in all the applied tests.
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2

Comparative Statistical Analysis of Research Data

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Data are shown as means ± SD. Variables not showing normal distribution (according to the Shapiro–Wilk’s test) or homology of variance were analyzed using the one-tailed Mann–Whitney’s U test. The Statistical Package for Social Sciences version 15 (SPSS, Chicago, IL, USA) and Prism 5 software for Windows (GraphPad, S. Diego, CA, USA) were used for statistical analyses.
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3

Statistical Analysis of Experimental Data

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All statistical analyses were conducted using a one-way ANOVA with Tukey’s multiple and Dunnett’s comparison tests. These calculations were carried out using GraphPad Prism 5 Software for Windows (GraphPad Software, San Diego, CA, USA, www.graphpad.com). Significance was observed at p < 0.05.
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4

Statistical Analysis of Experimental Data

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Data were expressed as mean ± s.d. and analyzed in the GraphPad Prism 5 Software for Windows (GraphPad Software, San Diego, CA, USA). A statistically significant difference was determined by the Kruskal–Wallis test. Dunn's multiple comparisons test was used if data were not normally distributed. Significant differences were considered when p ≤ 0.05.
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5

Cell Viability, Western Blot, and qPCR Assay

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Experiments on cell viability assay, western blotting, and real-time quantitative PCR were repeated three times in triplicate measurement. Statistical analyses were performed with one-way ANOVA test followed by a post hoc analysis (Tukey's multiple comparison test) using GraphPad Prism 5 Software for Windows (GraphPad Software, Inc., San Diego, CA, USA). The results were expressed by mean ± standard error of the mean (mean ± SEM) for each group. A P valueless than 0.05 was regarded as statistically significant.
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6

Statistical Analysis of Biological Data

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The data were analyzed using the SPSS/PC+ for Windows statistical package (version 23.0; SPSS, Chicago, IL, USA). The Kolmogorov–Smirnov test was used to assess the distribution of variables. Continuous variables were reported as the mean ± SD, while non-continuous variables were reported as the median and 25–75th percentile. The different comparative analyses were performed using a nonparametric Mann–Whitney U test or Kruskal–Wallis test, according to the presence of two or more groups. The strength of the association between the variables was calculated using Pearson’s method (parametric variables) and Spearman’s rho correlation test (nonparametric variables). p < 0.05 was considered statistically significant. GraphPad Prism 5 for Windows software (version 5.03) was used to elaborate the figures, and the statistical analysis of the relative abundance of analyzed genes was carried out the Wilcoxon test.
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7

Statistical Analysis of Experimental Data

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The data obtained from Experiment 1 were statistically analyzed using GraphPad PRISM 5 for Windows software (GraphPad Software, Inc., La Jolla, CA, USA). Data were analyzed by one-way repeated ANOVA and expressed as mean ± SD for three independent experiments. Statistical significance was determined by Student’s t-test. p-Values < 0.05 were considered statistically significant.
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8

Quantifying tdTomato Fluorescence in Pancreatic Tissue

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In an attempt to measure the strength of tdTomato-derived fluorescence in the samples (shown in the left panel of Figure 2A) obtained after IPPIGT, the photographic data (corresponding to a 3 mm2 portion that had been injected with transposons and contained co-injected TB) were incorporated into a Macintosh computer and processed using a program set with Adobe Photoshop ver. 5 (Adobe System, Inc., Seattle, WA, USA) to quantify the levels of fluorescence. Data were obtained from three injected areas of a pancreas in mice that had been subjected to IPPIGT at different days for each group. The raw data were then normalized to the data obtained from another pancreatic area that had been untransfected. The data were then subjected to statistical analysis using GraphPad PRISM 5 for Windows software (GraphPad software, Inc., La Jolla, CA). Data were analyzed by one-way repeated ANOVA and expressed as mean ± SD. Statistical significance was determined by Student’s t-test. p-Values <0.05 were considered statistically significant.
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