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Sigmaplot v11

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SigmaPlot v11.0 is a technical graphing and data analysis software developed by GraphPad. It provides a range of tools for data visualization, curve fitting, and statistical analysis. The software's core function is to enable users to create high-quality scientific and technical graphs and charts from their data.

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Prism v5, by GraphPad (1 mentions) Sigma plot vs11, by Merck Group (1 mentions) Prism 7, by GraphPad (1 mentions)

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SigmaPlot (38 citations)

4 protocols using sigmaplot v11

1

Robust Statistical Analysis of Tumor Growth

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Data analysis was performed with SigmaPlot V.11.0 and GraphPad Prism software. Differences in tumor growth curves were determined using analysis of variance, and cytokine assay data were assessed using Student’s t-test. Survival and tumor growth were analyzed using the Kaplan-Meier method and the log-rank test. P values of <0.05 were considered statistically significant.
Jan C.I., Huang S.W., Canoll P., Bruce J.N., Lin Y.C., Pan C.M., Lu H.M., Chiu S.C, & Cho D.Y. (2021). Targeting human leukocyte antigen G with chimeric antigen receptors of natural killer cells convert immunosuppression to ablate solid tumors. Journal for Immunotherapy of Cancer, 9(10), e003050.
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2

Phage Adsorption Kinetics Assay

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Overnight cultures of bacteria were adjusted to an OD600 of 1.0, corresponding to ∼109 CFU, in 1 ml of MM reaction volume. A total of 107 PFU of V22 phage was added to the bacterial cells and mixed on an overhead rotator at room temperature for 10 min, providing sufficient time for phage-host adsorption without phage replication. Bacterium-bound phages were then removed by centrifugation (20,000 × g, 5 min), and the PFU/ml of all nonadsorbed phages remaining in the supernatant was determined using soft agar overlay assays against A. mediterranea PT11. The adsorption ratio was determined by comparison to the total amount of phages added, determined from a control reaction of 107 PFU of V22 phage added to 1 ml MM containing no bacteria. Triplicate assays are shown as the mean ± standard deviation. Prior to statistical analysis, all negative adsorption ratios were normalized to zero. Student’s t test was performed with a confidence level of 95%. GraphPad and SigmaPlot v11.0 were used for statistical analysis and graphic visualization.
Gonzalez-Serrano R., Dunne M., Rosselli R., Martin-Cuadrado A.B., Grosboillot V., Zinsli L.V., Roda-Garcia J.J., Loessner M.J, & Rodriguez-Valera F. (2020). Alteromonas Myovirus V22 Represents a New Genus of Marine Bacteriophages Requiring a Tail Fiber Chaperone for Host Recognition. mSystems, 5(3), e00217-20.
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3

Blind Analysis of Time-Lapse Imaging

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All time-lapse recordings for imaging experiments were given non-descriptive names consisting of date and number; the researcher was blind to the treatment of each recording during image analysis. Recordings were performed in random order of control and experimental conditions. Whenever appropriate, the measures under study were quantified and plotted as averages±standard error of the mean (SEM). Statistical tests were performed in SigmaPlot v11.0 and GraphPad Prism v5. For each experiment, the sample sizes and appropriate tests [ANOVA, repeated measures- (RM-) ANOVA, t-test, etc.) are indicated in the figure legends. The G-test of independence, a variant of the chi-square test that compares the frequency of one nominal variable in a population to a second variable to determine if they are independent (McDonald 2009 ), was used to analyze the distributions of events after certain treatments (see Figure-4E, 8E). Results were considered to be significantly different if p<0.05.
Gyoneva S., Davalos D., Biswas D., Swanger S.A., Garnier-Amblard E., Loth F., Akassoglou K, & Traynelis S.F. (2014). Systemic inflammation regulates microglial responses to tissue damage in vivo. Glia, 62(8), 1345-1360.
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4

Statistical Analysis of Experimental Data

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Normal distribution and equal variance were assessed using the statistical software from Sigma Plot vs11.0. We conducted one‐way analysis of variance, two‐tailed t‐test and linear and nonlinear regression analysis tests using Sigma Plot v11.0 and GraphPad Prism 7.
Ogrodnik M., Miwa S., Tchkonia T., Tiniakos D., Wilson C.L., Lahat A., Day C.P., Burt A., Palmer A., Anstee Q.M., Grellscheid S.N., Hoeijmakers J.H., Barnhoorn S., Mann D.A., Bird T.G., Vermeij W.P., Kirkland J.L., Passos J.F., von Zglinicki T, & Jurk D. (2017). Cellular senescence drives age-dependent hepatic steatosis. Nature Communications, 8, 15691.
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