The largest database of trusted experimental protocols

136 protocols using excel 2016

1

Quantifying Mitochondrial Distribution

Check if the same lab product or an alternative is used in the 5 most similar protocols
For mitochondrial distribution, 20 worms of each genotype at mid-L4 stage were imaged and scored, unless stated otherwise. Quantification of mitochondrial distribution of each genotype was summarized in S1 Table. Based on these distribution data, axonal mitochondrial percentage and dendritic distribution pattern were analyzed (Figs 13). One-way ANOVA, Student’s t test, and Chi-square test (χ2) were performed for statistics. Diagrams were made by Excel 2016 and GraphPad Prism 6.0 software.
+ Open protocol
+ Expand
2

Microscopy Analysis of Cell Responses

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were analyzed using Microsoft Excel 2016 and GraphPad Prism 5 software. Data were plotted as means of three independent experiments ± standard error of the mean. One-way analysis of variance (ANOVA) with Tukey's or Dunnett's post hoc test were used to analyze results from light microscopy and immunofluorescence microscopy assays. Differences were considered significant when p < 0.05.
+ Open protocol
+ Expand
3

Measuring Hypocotyl Length in Seedlings

Check if the same lab product or an alternative is used in the 5 most similar protocols
To measure the hypocotyl lengths, all the seeds were treated using continuous blue light (10 μmol m−2 s−1) or darkness for 6 days. At least 20 seedlings of each sample were measured using Image J 1.48 V. Data were analyzed using Excel 2016 and GraphPad Prime 9.0.0. The experiments were repeated at least three times and the results of one repeat are shown in this study.
+ Open protocol
+ Expand
4

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
All statistical analysis was performed using Graph Pad Prism (v8.0.0, Graph Pad Software Inc) and Excel2016 (version2105) to do the graph figures and statistics. P values <0.05 were considered as significant: P values >0.05 were considered as non-significant. All sample sizes and statistical tests used are detailed in each figure legend.
+ Open protocol
+ Expand
5

Optimizing Cell Growth Conditions

Check if the same lab product or an alternative is used in the 5 most similar protocols
At least three replicates were performed for each experiment. Statistical and graphical analyses were performed using Excel 2016, GraphPad Prism 9, and Photoshop 7.0. All data were expressed as means  ±  standard deviations (means  ±  SD). One-way analysis of variance (ANOVA) was used to determine the level of significance (* and ** indicate significant differences at p  <  0.05 and p  <  0.01, respectively). Different lower-case letters indicate statistically significant differences at p  <  0.05.
+ Open protocol
+ Expand
6

Multiomic Workflow for Compound Profiling

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data was processed using GraphPad Prism 9.1.0 (https://www.graphpad.com/) and Excel 2016, and final figures generated in Affinity Designer 1.7.3.481 (https://affinity.serif.com/en-us/designer/). Student’s t-test and ANOVA were performed using GraphPad Prism 9.1.0. Self-organizing map (SOM) analyzes were applied to log2-scale gene expression data from drug treated samples relative to their own untreated control (vehicle) and performed in GenEx ver 7 (MultiID, https://www.multid.se). α = 0.05 and p-values < 0.05 were considered significant.
+ Open protocol
+ Expand
7

Comparative Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
All statistical analyses were performed using Excel 2016, GraphPad Prism 8, and R (v.8.0.1) software. Each experimental value is expressed as the mean ± SD. An unpaired t-test was performed for comparisons between two groups and one-way analysis of variance (ANOVA) was applied for pairwise comparisons among multiple groups with Tukey’s post hoc test, and significance was accepted at *p < 0.05, **p < 0.01 and ***p < 0.001.
+ Open protocol
+ Expand
8

Statistical and Kinetic Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Microsoft Excel 2016 and GraphPad Prism 8 software were used for regular statistical analysis and enzyme kinetic analysis. A two-tailed Student’s t-test was used to calculate significant differences among samples or genotypes. Details of biological replicates used in various experiments are provided in the Methods section as well as in Main Figures and Supplementary Figures legends, wherever necessary.
+ Open protocol
+ Expand
9

Categorical Analysis of Hereditary Angioedema

Check if the same lab product or an alternative is used in the 5 most similar protocols
Our dataset mostly consisted of categorical variables that we characterized with percentage distribution. The only exceptions were the patients’ age and the time from the diagnosis of HAE, which were characterized by median, minimal, and maximal values and lower and upper quartile values. To determine if there was a connection between variables, a chi-squared test was used. All calculations were made using Microsoft Excel 2016 and GraphPad Prism 7.0 programs, and the significance level was set at 0.05.
+ Open protocol
+ Expand
10

Protein Quantification in Cell Lysates

Check if the same lab product or an alternative is used in the 5 most similar protocols
The figures and tables were made using Excel 2016 and GraphPad Prism 8.0. The statistical significance analysis of the physiological data was performed using IBM SPSS Statistics 19 software; p < 0.05 was considered significant. The figures were edited using PhotoShop CC 2019.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!