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MultiEditR

MultiEditR: An easy validation method for detecting and quantifying RNA editing from Sanger sequencing

Install / Use

/learn @MoriarityLab/MultiEditR
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

MultiEditR version 2.0.0

Hello! Welcome to MultiEditR! We hope that our program can be of use for your edit detection and quantification needs. Please note that this is a beta version of the application, and as such aspects of it are still under development.

However, if you are noticing any errors when using the application please feel free to reach out Mitch at klues009@umn.edu for troubleshooting and input on the application.

To run this program online visit this webpage: https://moriaritylab.shinyapps.io/multieditr

To run this program locally please do the following:

  1. Download and install R (https://www.r-project.org/)
  2. Open the dependencies.R file and run the script. Please note any errors that may occur during running.
  3. Copy, paste, and run the following code chunk in your command line:

library(sangerseqR) library(tidyverse) library(magrittr) library(plyr) library(gamlss) library(readr) library(shiny) library(plotly) library(shinythemes) library(berryFunctions)

  1. Determine the directory of the MultiEditR app on your computer. It will look something like this:

/Users/kluesner/Desktop/Research/EditR/multiEditR/program/working_branch/app

  1. Copy, paste, and run the following line of code in your R command line, using the specific directory of the MultiEditR app on your computer:

shiny::runApp(“/Users/kluesner/Downloads/MultiEditR-master”)

  1. The application should launch and be used interactively

Upon submission of the MultiEditR manuscript to a journal, the web application will be live at https://moriaritylab.shinyapps.io/MultiEditR

View on GitHub
GitHub Stars6
CategoryDevelopment
Updated1y ago
Forks2

Languages

HTML

Security Score

55/100

Audited on Nov 25, 2024

No findings