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22 protocols using coreldraw 2019

1

Tetraspanin Transmembrane Domain Analysis

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The TMSs of each tetraspanin11 (link) were defined using TMHMM Server v. 2.029 (link),30 (link) (http://www.cbs.dtu.dk/services/TMHMM/) and their domains such as N-terminus and SIL were defined as N-terminally of TMS1 and the linker between TMS2 and TMS3, respectively. The secondary structures were analysed by Jpred431 (link) (http://www.compbio.dundee.ac.uk/jpred/). The helices containing TMS1 of each human Tspan were analysed by HeliQuest32 (https://heliquest.ipmc.cnrs.fr/cgi-bin/ComputParams.py). The images of crystal and cryo-EM structures as well as the dihedral angles were obtained using PyMOL 2.5 (https://pymol.org/2/). The orientation of the SIL towards the membrane was adopted from the Orientations of Proteins in Membranes (OPM) database (https://opm.phar.umich.edu/). The illustration of amino acid frequency was done via Weblogo33 3.7.4 (https://weblogo.berkeley.edu/logo.cgi). The data composition for the figures was done employing CorelDRAW 2019 (www.corel.com).
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2

Comprehensive Data Analysis Methods

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Data analysis and figures were created by using Microsoft Excel, GraphPad 8.3, and CorelDraw 2019 software programs.
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3

Statistical Analysis of Heterologously Expressed CNG Channels

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The statistical analysis of the data from the heterologously expressed CNG channels was performed using the two-tailed unpaired Student’s t-test. Experimental data are given as mean ± SEM. Analysis of the experimental data was done with the OriginPro 2016G software (OriginLab Corporation, Northampton, MA, USA).
MEA-recorded raw data files were filtered employing a Butterworth 2nd order filter (MC-Rack, Multi-channel systems) to extract the µERG (field potentials: bandpass 0.01–100 Hz) and spikes (high pass 200 Hz). The filtered data were converted to *.hdf files by MC DataManager (v1.6.1.0, Multi Channel Systems, Reutlingen, Germany) for further data processing in MATLAB [39 (link)]. Shown traces data are the average of 30 MEA recording electrodes, per condition. n = 5 retinae were recorded per condition. Statistical significance was estimated by one-way ANOVA followed by the Dunnett´s test for multiple comparisons. Experimental data are given as mean ± SEM.
The a-wave slope was calculated as the quotient of the a-wave deflection in µV per 20 ms period (last 20 ms of the a-wave amplitude; between starting point of the a-wave (response latency) and the ending at the a-wave (peak time)).
Figures were prepared using CorelDraw® 2019 (Corel, Ottawa, ON, Canada) and Inkscape (inkscape.org, accessed on 1 February 2021).
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4

Quantitative Analysis of Cellular Morphology

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Data were analyzed and presented using GraphPad Prism 7 (GraphPad Software Inc, San Diego, CA, USA), BioDraw Ultra 12.0 (CambridgeSoft, Cambridge, MA, USA), Fiji-ImageJ [57 (link)], Imaris 9.5.0 (Bitplane, Zürich, Switzerland), Matlab R2019b (MathWorks, Natick, MA, USA) and CorelDRAW 2019 (Corel, Ottawa, ON, Canada). Brightness and contrast of micrographs were enhanced for visualization. Statistical analysis was carried out on data of at least three individual experiments and presented as mean with confidence interval (95%) unless indicated otherwise, followed by analysis with parametric one-way ANOVA followed by Tukey’s post-hoc test. If D’Agostino–Pearson normality test failed (alpha < 0.05), data were analyzed with non-parametric Kruskal–Wallis test followed by Dunn’s post-hoc test.
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5

3D Reconstruction of Whole Embryos

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Whole embryos were photographed using the Leica Application Suite (LAS) 4.6 software with a M165 FC stereomicroscope and a DFC450 C camera (both from Leica). Images of histological sections were acquired with the KS400 3.0 software using an Axioskop 2 MOT microscope and an AxioCam HR digital camera (Carl Zeiss, Göttingen, Germany). Following background and shading corrections in the respective imaging software, digital photographs were cropped and adjusted for brightness, color balance, and sharpness in Photo-Paint 2019 (Corel, Unterschleißheim, Germany). All image adjustments were carried out on the entire images without changing, removing or inserting specific features within the photographs. All figures and lettering were composed using CorelDraw 2019 (Corel). 3D reconstructions were created in the reconstruction and modeling software Free-D 1.15 (Andrey and Maurin, 2005 (link)).
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6

Randomized Murine Microbiome Analysis

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Collection of human samples was randomized and blinded. No other data collection and analysis was performed blind to the conditions of the experiments. No statistical methods were used to pre-determine sample sizes, but our sample sizes are similar to those reported in previous publications20 (link),72 (link),73 (link). Mice were randomly assigned to respective treatment groups. No animals or data points were excluded from the analyses. Data collection, statistical analysis and visualization utilized Microsoft Excel (22.03) GraphPad Prism (9.2.0), CorelDRAW 2019 (21.0.0.593) and in-house R scripts (3.6.2). The following packages were used with R (3.6.2): ggplot2 (2.3.5), qiime2R (0.99.6), dplyr (1.0.8), tidyverse (1.3.1) and RStudio (1.2.5033). Shapiro–Wilk normality test was applied to all datasets n > 6; for all other sets, we assumed non-normal distribution, but this was not formally tested. Testing for statistical significance always employed two-tailed tests if not stated otherwise.
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7

Comprehensive Data Analysis Protocol

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Data analysis and figures were created using Microsoft Excel, GraphPad 8.3, and CorelDraw 2019 software programs.
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8

Kaplan-Meier Survival Analysis Protocol

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All figures and statistical results in our study were generated by GraphPad Prisma 8.0 software and CorelDRAW 2019. Survival curves were plotted using the Kaplan–Meier method and compared using the log-rank test. P values were two-tailed examined for all tests, and P < 0.05 was used to define statistical significance.
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9

Data Extraction Protocol for Tumor Studies

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Data extraction contained some routine parameter set, such as first author, year, country, tumor type, animals' strain and age, dosage, frequency, duration, cell lines and numbers, location, administration and therapeutics outcomes (tumor volume, tumor weight) and side effect evaluation (body weight). We extracted the data by using standard form. Values for data were expressed in graph only, values were read off the graphics by using CorelDraw 2019 software.
When a control group shared more than one experiment group, we adjusted the numbers of animals in control group according to a practical guide on PROSPERO. When there was a lack of valid data in a study, review authors acquired the original data from the articles' author by E-mail or phone.
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10

Mortality Prediction in Critical Care

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We performed intergroup comparison of the variables included in this study. Categorical variables were analyzed using the chi-squared test. Numeric variables, such as age, BMI, length of ICU stay, the APACHE II and SOFA scores, duration of mechanical ventilation, and the norepinephrine infusion rate were expressed as median (interquartile range) and were analyzed using the Mann-Whitney U-test. Results of individual laboratory tests for each patient were expressed as maximum, minimum, and mean values and were analyzed using the Mann-Whitney U-test. With regard to laboratory tests, we created a receiver operating characteristic (ROC) curve to determine the optimal indicator for mortality prediction. The optimal cut-off value for mortality was selected as the point at which the sum of sensitivity and specificity was highest. All statistical analyses were performed using the IBM SPSS version 26.0 (IBM Corp., Armonk, NY, USA). The figure was created using CorelDRAW 2019 (Corel Corp., Ottawa, Canada).
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