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This is a script I used to make an R Shiny application that allows for browsing the time-course gene expression signal, and associated statistics, for an experiment where MCF-7 cells were exposed to oxidative stress-inducing compounds. This dataset was published in *Free Radical Biology and Medicine*, article found here https://doi.org/10.1016/j…

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MCF7-ROS-RNAseq

This is a script I used to make an R Shiny application that allows for browsing the time-course gene expression signal, and associated statistics, for an experiment where MCF-7 cells were exposed to oxidative stress-inducing compounds. This dataset was published in Free Radical Biology and Medicine, article found here: Levings et al. FRBM. 2021.

I also include the R code (in R Markdown format) used to generate the R data for the app (MCF7-ROS-RNAseq.RData).

To use this app:

  1. Clone this GitHub repository to [desired location].

  2. Make sure you have the R programming language and the following packages installed: magrittr, ggplot2, ggrepel, ggtext, gridExtra, scales, shiny, tidyverse, xtable

  3. Run the following code in your terminal:

    R -e "shiny::runApp('[desired location]/MCF7-ROS-RNAseq/app.R')"

  4. R will run the app, and show what address the plot will be output at. It should look something like: Listening on http://127.0.0.1:6880

  5. Copy the address (eg - http://127.0.0.1:6880) and paste it into your web browser to use the app.


Raw data sources:

Gene Expression Omnibus (GEO): GSE173664


Shield: CC BY-NC-SA 4.0

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

CC BY-NC-SA 4.0

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This is a script I used to make an R Shiny application that allows for browsing the time-course gene expression signal, and associated statistics, for an experiment where MCF-7 cells were exposed to oxidative stress-inducing compounds. This dataset was published in *Free Radical Biology and Medicine*, article found here https://doi.org/10.1016/j…

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