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Sigmaplot 11.0 for windows

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SigmaPlot 11.0 for Windows is a data analysis and graphing software developed by Systat Software, Inc. It provides tools for data visualization, statistical analysis, and scientific graphing. The software is designed to help users create high-quality plots and charts for scientific and technical applications.

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Lab products found in correlation

Labchart, by ADInstruments (1 mentions) Spss 11.0 for windows, by IBM (1 mentions) Prism 7.0 for windows, by GraphPad (1 mentions)

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SigmaPlot for Windows SigmaPlot 11.0 SigmaPlot

15 protocols using sigmaplot 11.0 for windows

1

Replicates and Statistical Analysis

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All experiments contained a minimum of three and up to six replicates. Results are depicted as means and the standard deviation of the means are represented by the error bars. The significance of difference between means of test samples and control was determined using Student’s t-test in Sigma Plot 11.0 for Windows (version 10.0). A value of p ≤ 0.05 was considered significant.
Kalita B., Dutta S, & Mukherjee A.K. (2019). RGD-independent binding of Russell’s Viper venom Kunitz-type protease inhibitors to platelet GPIIb/IIIa receptor. Scientific Reports, 9, 8316.
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2

Glucose Metabolism in Alcohol-Exposed Rats

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Data for each condition are summarized as mean ± SEM where the number of rats per treatment group is indicated in the legend to the figure or table. Data pertaining to body composition, echocardiographic endpoints, insulin-mediated whole-body glucose disposal, insulin-induced suppression of hepatic glucose production and the area under the curve for FFAs were compared by 2-way (ethanol x strain) analysis of variance (ANOVA). All other data were compared using a 3-way ANOVA (ethanol x insulin x strain). The Student-Neuman-Keuls (SNK) test was used for post hoc comparisons on significant interactive effects (SigmaPlot 11.0 for Windows; San Jose, CA). An α-level of P < 0.05 was used for all comparisons and considered statistically different. For all tables and figures, values having the same superscript letter are considered not statistically different (P > 0.05); values having different superscript letters (“a” versus “b” versus “c”) were considered statistically significant at P < 0.05. The area under the curve (AUC) was calculated using the trapezoidal rule using the basal (time 0) value as zero.
Lang C.H., Derdak Z, & Wands J.R. (2014). Strain-Dependent Differences for Suppression of Insulin-Stimulated Glucose Uptake in Skeletal and Cardiac Muscle by Ethanol. Alcoholism, clinical and experimental research, 38(4), 897-910.
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3

One-way ANOVA with Holm-Sidak Test

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Analysis of variance (ANOVA) was carried out using SigmaPlot 11.0 for Windows. One-way analysis of variance was followed by pairwise comparison with the Holm-Sidak test.
Bollino D., Balan I, & Aurelian L. (2015). Valproic acid induces neuronal cell death through a novel calpain-dependent necroptosis pathway. Journal of neurochemistry, 133(2), 174-186.
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4

Enzymatic Activity and Pharmacological Evaluation

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Student’s t test using Sigma Plot 11.0 for Windows (version 10.0) was used to test the significance of difference in enzymatic activities and pharmacological properties of ECV and its GF fractions. A value of p ≤ 0.05 was considered significant.
Patra A., Kalita B., Chanda A, & Mukherjee A.K. (2017). Proteomics and antivenomics of Echis carinatus carinatus venom: Correlation with pharmacological properties and pathophysiology of envenomation. Scientific Reports, 7, 17119.
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5

Quantitative Analysis of Neural Activities

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Rectified, integrated recordings of C4, XII and phrenic nerve activities were analyzed using Clampfit (v9.2, Molecular Devices, Sunnyvale, CA) (for the in vitro data) and LabChart (AD Instruments, Sydney, Australia) (for the in vivo data). Peak detection was performed to generate burst frequency and amplitude values. For each experiment, values were normalized relative to control (pre-drug or pre-stimulus) levels, and expressed as mean ± standard error of the mean (SEM). Statistical comparison of means was performed using a one-way or two-way repeated measures ANOVA followed by the Tukey post-test (Systat Software, Inc. SigmaPlot 11.0 for Windows). Values of p < 0.05 were assumed significant. Group data are presented as box plots in which: the center line shows the median; box limits indicate the 25th and 75th percentiles; whiskers extend to minimum and maximum values, and; crosses represent sample means.
da Silva G.S., Sabino J.P., Rajani V., Alvares T.S., Pagliardini S., Branco L.G, & Funk G.D. (2017). Excitatory Modulation of the preBötzinger Complex Inspiratory Rhythm Generating Network by Endogenous Hydrogen Sulfide. Frontiers in Physiology, 8, 452.
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6

Student's t-test Analysis Using SigmaPlot

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Student's t test using the software SigmaPlot 11.0 for Windows (version 7.0) was used to determine the significance of difference between two test values. The value of p≤0.05 was considered significant.
, & Mukherjee A.K. (2014). The Pro-Coagulant Fibrinogenolytic Serine Protease Isoenzymes Purified from Daboia russelii russelii Venom Coagulate the Blood through Factor V Activation: Role of Glycosylation on Enzymatic Activity. PLoS ONE, 9(2), e86823.
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7

Statistical Analysis for Scientific Research

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SigmaPlot 11.0 for Windows was used to perform the statistical analysis. Student’s t-test, paired t-test, one-way Analysis of Variance (ANOVA) with a Tukey multiple comparisons post-hoc test, two-way ANOVA, and regression analysis were used where appropriate. Significance level was set at *P < 0.05, **P < 0.01, ***P < 0.001. Results were presented as mean ± SEM.
Ye Y., Ono K., Bernabé D.G., Viet C.T., Pickering V., Dolan J.C., Hardt M., Ford A.P, & Schmidt B.L. (2014). Adenosine triphosphate drives head and neck cancer pain through P2X2/3 heterotrimers. Acta Neuropathologica Communications, 2, 62.
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8

Calcium-Dependent Vascular Reactivity

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Experimental results are presented as mean ± S.E.M. Data are expressed as either micrometer or percentage of passive diameter [PD%]. The changes in ratiometric intracellular calcium measurements are indicated as a delta ratio (ΔR). Statistical analysis was performed by one-way ANOVA (Holm-Sidak method) or Student’s t-test as appropriate by SPSS 11.0 for Windows software. P-values <0.05 were considered to be statistically significant. Figures were made by SigmaPlot 11.0 for Windows software.
Cseplo P., Vamos Z., Ivic I., Torok O., Toth A, & Koller A. (2016). The Beta-1-Receptor Blocker Nebivolol Elicits Dilation of Cerebral Arteries by Reducing Smooth Muscle [Ca2+]i. PLoS ONE, 11(10), e0164010.
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9

Seasonal Variation of Trace and Macroelements

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Basic calculations were made in Microsoft Office Excel 2007. Data on trace and macroelements concentrations are presented as mean ± standard deviation (S.D.). SigmaPlot 11.0 for Windows was used for other statistical analysis and creation of images. Variability of the trace and macroelements levels between the two seasons at each location was tested by applying t-test, while significance of variability in metal concentrations between the three sites was tested by using one-way ANOVAfollowed by the post-hoc Student-Newman-Keuls test.
The level of significance was set at 95% (p<0.05).
Mijošek T., Filipović Marijić V., Dragun Z., Ivanković D., Krasnići N., Redžović Z., Sertić Perić M., Vdović N., Bačić N., Dautović J, & Erk M. (2020). The assessment of metal contamination in water and sediments of the lowland Ilova River (Croatia) impacted by anthropogenic activities. Environmental science and pollution research international, 27(20).
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10

Statistical Analyses for Experimental Design

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Statistical analyses were done using SigmaPlot 11.0 for Windows. The experiments were arranged in a completely randomized design. All data were tested for normality and equal variance by Kolmogorov–Smirnov tests. The means were further analyzed by two-tailed Student’s t test (P  ≤  0.05) or Fisher’s LSD test (P  ≤  0.05) after one-way ANOVA in multiple comparisons. For data that do not assume a specified variance or normality, we performed ranking tests Wilcoxon rank-sum for pairwise comparisons and Kruskal–Wallis one-way analysis for multiple groups.
Therezan R., Kortbeek R., Vendemiatti E., Legarrea S., de Alencar S.M., Schuurink R.C., Bleeker P, & Peres L.E. (2021). Introgression of the sesquiterpene biosynthesis from Solanum habrochaites to cultivated tomato offers insights into trichome morphology and arthropod resistance. Planta, 254(1), 11.
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