Home Botany Flux vs. time
Steps
  1. 1 Understand flux versus time analysis overview --:--
  2. 2 Create info.txt file with treatment data 00:14
  3. 3 Save info file as tab-delimited text 01:08
  4. 4 Load and source fluxvstime.r script 01:40
  5. 5 Enter number of time points 02:04
  6. 6 Review generated summary graph output 02:26
  7. 7 Examine organized data and perform statistics 02:52
Botany Bio-protocol Video Citable · DOI

Flux vs. time

DOI: 10.21769/BioProtoc.v268
Protocol
Difficulty
intermediate

Steps

1
Understand flux versus time analysis overview

The video introduces the flux-versus-time R script used to estimate dose and time-dependent responses based on red to green fluorescent protein ratios. This script will analyze experimental data and generate visualizations of the results.

▶ --:--
2
Create info.txt file with treatment data

Create a two-column tab-delimited text file in Excel with treatment names and start times. The file must be named info.txt and saved in the correct format, as the data must match the experimental file names exactly.

▶ 00:14
3
Save info file as tab-delimited text

Use File > Save As to save the Excel spreadsheet as a tab-delimited .txt file named info. Ensure proper formatting to avoid auto-formatting issues by converting to text format if needed.

▶ 01:08
4
Load and source fluxvstime.r script

In RStudio, select the fluxvstime.r script from the R scripts folder and use Code > Source to load the file. This will initiate the analysis workflow.

▶ 01:40
5
Enter number of time points

When prompted by the script, enter the number of time points from the experiment. In this example, three time points were scanned, so enter 3 and press Enter.

▶ 02:04
6
Review generated summary graph output

The script generates a summary graph showing normalized fluorescent protein ratios over time in hours, normalized to the vehicle control. The output includes both overall and per-seedling data summaries.

▶ 02:26
7
Examine organized data and perform statistics

Review the organized data in the generated summary file. Perform appropriate statistical tests using R or other software like Origin, JMP, or GraphPad Prism based on your specific experimental design.

▶ 02:52
💬 Comments coming soon