Data were analyzed by mixed linear factorial ANOVA with degrees of freedom calculated using the Kenward-Roger method (Proc Mixed, SAS version 9.4, SAS Institute, Cary, NC, USA), two-way ANOVA test followed by Tukey’s post hoc test (Prism 7.0c software; GraphPad Software, Inc., San Diego, CA, USA), or unpaired two-tailed t-test (Prism 7.0c software) as indicated in figure legends. P ≤ 0.05 was considered significant. The n represents either offspring, litter numbers, or dams as indicated in figure legends. Results are reported as mean ± standard error of the mean (s.e.m.).
Prism 7.0c software
Manufactured by GraphPad
Sourced in United States
Prism 7.0c is a data analysis and graphing software developed by GraphPad. It is designed to help researchers and scientists visualize, analyze, and present their data. The software offers a range of features, including curve fitting, statistical analysis, and the creation of publication-quality graphs and charts.
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Lab products found in correlation
13 protocols using prism 7.0c software
1
Statistical Analysis of Biological Data
2
Triplicate Experiments and Statistical Analyses
3
Survival Assay for Ecc15 Infection
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Myo-Gal4TS; upd3-lacZ driver/reporter flies were crossed to the UAS-RNAi lines and their progeny were raised at 18°C. At 3-days post eclosure, 20 adult females were shifted to 29°C, the temperature at which all survival experiments were done to allow constant expression of the RNAi constructs. Day seven post-induction was considered day 0 of the survival studies. The controls used were the F1 progeny of crosses between our driver and the wild-type stock Cs, as well as the background-matched lines “attP2” and “attP40”. To evaluate possible background or off-target effects, multiple RNAi lines were used for each gene and the survival of all parental lines alone was also monitored. Survival was recorded in unchallenged (UC) conditions, in which flies were kept on standard cornmeal medium, and upon constant exposure to Ecc15 (flies were transferred to new tubes with fresh Ecc15 every 3 days). Deaths were monitored daily and plotted using the GraphPad Prism 7.0c software. Results of survival experiments are aggregates of 3 to 9 biological replicates and error bars represent standard errors. LT50s were determined using PROBIT analysis in R.
4
Statistical Analysis of Experimental Data
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Data were analyzed by Student’s t-test, one-way ANOVA followed by Tukey’s post hoc test, two-way ANOVA test followed by Sidak’s post hoc test (Prism 7.0c software; GraphPad Software, Inc., San Diego, CA, USA), or mixed linear factorial ANOVA with degrees of freedom calculated using the Kenward-Roger method (Proc Mixed, SAS version 9.4, SAS Institute, Cary, NC, USA) as indicated in figure legends. P < 0.05 was considered significant. The n represents either dams or litter numbers as indicated in figure legends. Results are reported as mean + standard error of the mean (s.e.m.).
5
Statistical Analysis of Biological Replicates
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Statistical tests, sample size, and number of biological replicates are reported in the figure legends. Statistical analyses were done using Prism 7.0c software (GraphPad). Comparisons were performed using a two-tailed Student’s t-test. A P-value of < 0.05 was considered to be statistically significant difference. *P < 0.05; **P < 0.01; ***P < 0.001.
6
Quantification of Immunostaining in Mice
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Statistical details of each experiment can be found in the respective figure legends. Data are presented as mean ± standard deviation (sd). n refers to biological replicates. p < 0.05 was considered statistically significant, except for individual bile acid species comparisons for which an FDR of 0.1 was used. GraphPad PRISM 7.0c software was used for statistical analyses. No samples or animals were excluded from the analysis. Littermate controls of both genders were used throughout the study. Data significance was analyzed using a two-tailed unpaired Student’s t test or Mann-Whitney test in cases where two groups were being compared. In cases where more than two groups were being compared, one-way or two-way ANOVA were used with Sidak’s test to correct for multiple comparisons. For quantification of immunostaining, 3–5 20x fields from at least 3 mice of each group were analyzed, representing randomly selected regions from throughout all of the available tissue, and each dot graphed represents the average counts per mouse of all the fields combined.
7
Statistical Analysis of Experimental Outcomes
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Prism 7.0c software (Graphpad, San Diego) was used to analyze the data to determine statistically significant differences amongst treatment groups. Animal outcome data are presented as means ± SD. Laboratory data are presented as means ± SEM. Statistical tests include Student’s t-Test, one-way ANOVA, repeated measures Two-way ANOVA, and Fisher’s exact test, depending on the analytical question. Post-tests include Tukey’s multiple comparisons and Cochran-Armitage test for trend analysis. In all statistical analyses, a p value of < 0.05 between or amongst treatment groups (actual or Bonferroni-corrected for greater than 2 variables) was considered statistically significant.
8
Quantification of Immunostaining in Mice
9
Comprehensive Bile Acid Profiling in Mice
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Statistical details of each experiment can be found in the respective figure legends. Data are presented as mean ± standard deviation (sd). n refers to biological replicates. p < 0.05 was considered statistically significant, except for individual bile acid species comparisons for which an FDR of 0.1 was used. GraphPad PRISM 7.0c software was used for statistical analyses. No samples or animals were excluded from the analysis. Littermate controls of both genders were used throughout the study. Data significance was analyzed using a two-tailed unpaired Student's t test or Mann-Whitney test in cases where two groups were being compared. In cases where more than two groups were being compared, one-way or two-way ANOVA were used with Sidak's test to correct for multiple comparisons.
10
Analyzing LCN2 Concentration Dynamics
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Parameters were analyzed with two-tailed Student’s t-test. To analyse differences of LCN2-concentrations at different time points, one-way ANOVA with Tukey’s multiple comparisons test for post-hoc analyses were employed. Data analysis was done with GraphPad Prism 7.0c software (GraphPad, San Diego, CA, USA). Correlation coefficients were obtained using Pearson’s rank method. Two-sided P-values are presented and a p-value ≤ 0.05 was considered statistically significant.
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