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Excel 2013

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Excel 2013 is a spreadsheet software application developed by Microsoft. It provides a platform for organizing, analyzing, and visualizing data through the use of cells, rows, and columns. Excel 2013 offers a range of features and functions for performing calculations, creating charts and graphs, and managing large datasets.

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63 protocols using excel 2013

1

Synergism Analysis of Experimental Data

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All other data analysis was performed using Excel 2013 and GraphPad Prism 7. Synergism was analyzed with the R package synergyfinder [37 (link)] or the free-license software Compusyn [38 (link)]. For synergism analysis, only results of > IC10 and < IC90 were used. RNASeq was analyzed as described.
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2

Statistical Analysis of Experimental Data

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For statistical analyses Excel 2013 software and Prism 6 software package (GraphPad, San Diego, CA, USA) were used. The values were expressed as mean ± SEM and the Student's t-test was applied to compare differences between control samples and treatment groups. Statistical significance level was set to p < 0.05.
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3

Statistical Analysis of Experimental Data

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Statistical analysis was performed with Microsoft Excel 2013 and GraphPad Prism 6.0. The Mann-Whitney U test was used to calculate the level of significance. Statistical significance was accepted at p ≤ 0.05.
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4

Statistical Analysis of Protein Levels and Cell Responses

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All data were analyzed using Microsoft Excel 2013 software or GraphPad Prism 5 software, and the results are expressed as the means and standard deviations. We used unpaired, two-sided Student’s t-test to compare protein levels, luciferase activities, and cell numbers. Differences were considered statistically significant when P-values were less than 0.05. Protein or mRNA expression correlations were analyzed using a Spearman’s P statistics. Survival rate analysis was performed by drawing curves and calculating the log-rank P test using the Kaplan–Meier method.
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5

Chromogenic 4-NPF Substrate Assay

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Activity assays on the chromogenic 4-NPF substrate were performed in a reaction volume of 80 μl containing up to 200 μg of total protein of the cleared lysates. Dilution of the lysate was performed as needed to ensure that the signal of product formation was within the dynamic range of the assay for each enzyme. The reaction further contained 2.5 mM of 4-NPF in 50 mM buffer (MES at pH 5.5 or 6.5; or HEPES at pH 7.5) supplemented with protease inhibitors (cOmplete™ Protease Inhibitor Cocktail without EDTA, Roche). After incubation (30 minutes at 30°C), the reaction was stopped by adding 120 μl of 0.5 M of carbonate/bicarbonate pH 9.6, and the absorbance was measured at 415 nm on an iMark™ microplate reader (Bio-Rad). The obtained absorbance was corrected using a negative control lysate from an untransformed strain, which was applied in the same concentration as the sample. The amount of fucose that was released was inferred by linear regression by including a dilution series of 4-nitrophenol on each plate, with concentrations ranging from 0-1 mM (1 mM corresponds to 80 nmol per well). For selected enzymes, each with varying degrees of activity towards 4-NPF, the assay was repeated with up to four biological replicates. Data processing and visualization was done in Microsoft Excel 2013 and GraphPad Prism 7.
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6

Statistical Analysis of In Vitro and Survival Data

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Statistical analysis was carried out using Microsoft Excel 2013 and GraphPad Prism version 5.00 for Windows. Experimental data are represented as the average ± SD of a minimum of three biological replicates. Otherwise indicated, The Student’s two tailed unpaired t test was used to determine statistical significance of in vitro experiments. The log-rank test was used to determine the statistical differences of the survival data. All statistical tests were two-sided, and a p value of less than 0.05 was considered statistically significant.
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7

Hydrocortisone Formulations Pharmacokinetics

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Results were expressed as mean (with standard error) and percentages. The in vivo pharmacokinetic parameters of the hydrocortisone formulations in the 3 groups were estimated with noncompartmental analysis using GraphPad Prism 7.0 and Excel 2013. Peak drug concentration (Cmax) and time to achieve this (Tmax) were determined from concentration-time profile curves. The area under the drug concentration-time curve (AUC) was calculated by the linear trapezoidal rule. AUC was determined till the last sampling point and was also extrapolated to infinity (AUC0→∞). The elimination rate constant (Ke) was determined by linear regression of the linear terminal part of the log serum cortisol concentration-time curve. The elimination half-life (t1/2) was calculated from the formula; t1/2 = 0.693Ke−1. Comparison of pharmacokinetic parameters of the hydrocortisone formulations was by one-way analysis of variance (ANOVA) followed by Tukey's post hoc multiple comparison test. Statistical significance was set at p < 0.05.
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8

Multiplex Allelic Discrimination Assay

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For each sample tested with the Bio-Plex 200 system, MFI values were collected for each of the eight microsphere sets corresponding to each allele. Results can be exported from the Bio-Plex Manager 4.0 software into an Excel file. For each allele, NET MFI values were obtained by subtracting the respective no-target (multiplex PCR negative control) MFI values. A criterion was set as the mean MFI of 22 blank controls +5 standard deviation (SD). MFI values for each allele were required to meet this criterion, and alleles could then be determined based on allelic ratios (AR) as follows:
Based on preset criteria, AR was used to discriminate WT, mutant, and heterozygous samples. In this study, a mutant AR ≥ 0.03 was set to call the presence of BenA-198A, AR ≥ 0.2 was set to call the presence of SdhB-272Y, AR ≥ 0.02 was set to call the presence of BcOS1-365S, and AR ≥ 0.06 was set to call the presence of erg27-412S. When the AR was lower than these values, the WT was called. All data were analyzed and plotted using Excel 2013 or GraphPad prism 5.01.
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9

Statistical Analysis of Experimental Data

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All calculations were performed using Excel 2013 and the nonlinear multipurpose curve-fitting program GraphPad Prism that was also used for statistical analysis and graphic presentations. AUC for CSI calculation were obtained by the use of the open source Java image processing program ImageJ. All data are presented as the means ± SEM. Statistical analysis was performed by a t-test or a one-way analysis of variance (ANOVA) with the Newman-Keuls multiple comparison test for post hoc pair-wise comparisons. Two-way ANOVA analyses were also performed to determine how the responses were affected by sex and cortisol concentrations. The results were considered significant at the p<0.05 level.
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10

Statistical Analysis of Biological Experiments

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Data analyses were performed using Microsoft Excel 2013 and GraphPad Prism7. A two-tailed Student’s t test, a two-way ANOVA and a Mantel-Cox were used to determine significance. In all types of statistical analysis values of p < 0.05 were considered significant. Data are represented as the mean ± SEM (standard error of the mean) of individual data points of at least three independent samples. Number of independent samples and statistical method used in each experiment are reported in the figure legends. For all experiments similar variances between groups were observed. Normal distribution of samples was not determined. In the DAVID functional annotation analyses for the RNA-seq experiments EASE Score, a modified Fisher Exact p-values, were used to determine significance as recommended.
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