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SpliceR version 1.2.0
Hello! Welcome to SpliceR! We hope that our program can be of use for your design of base editing sgRNAs for protein disruption.
If you are noticing any errors when using the application please feel free to reach out Mitch and Branden at klues009@umn.edu and mori0164@umn.edu for troubleshooting and input on the application.
To run this program online visit this webpage:
z.umn.edu/splicer
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(shiny)
library(Biostrings)
library(magrittr)
library(stringi)
library(dplyr)
library(tidyr)
library(ggplot2)
library(grr)
library(printr)
library(plyr)
library(readr)
library(printr)
library(rmarkdown)
library(DT)
library(httr)
library(curl)
3) Determine the directory of the SpliceR app on your computer. It will look something like this:
/Users/Name/Downloads/SpliceR-master
4) 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/Name/Downloads/SpliceR-master”)
5) The application should launch and be used interactively

About

Program for the prediction of BE-splice sgRNAs for base editor mediated knockout

Resources

Readme
Activity
Custom properties

Stars

5 stars

Watchers

1 watching

Forks

4 forks
Report repository

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try {
var __m = "github.com";
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SpliceR version 1.2.0
Hello! Welcome to SpliceR! We hope that our program can be of use for your design of base editing sgRNAs for protein disruption.
If you are noticing any errors when using the application please feel free to reach out Mitch and Branden at klues009@umn.edu and mori0164@umn.edu for troubleshooting and input on the application.
To run this program online visit this webpage:
z.umn.edu/splicer
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(shiny)
library(Biostrings)
library(magrittr)
library(stringi)
library(dplyr)
library(tidyr)
library(ggplot2)
library(grr)
library(printr)
library(plyr)
library(readr)
library(printr)
library(rmarkdown)
library(DT)
library(httr)
library(curl)
3) Determine the directory of the SpliceR app on your computer. It will look something like this:
/Users/Name/Downloads/SpliceR-master
4) 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/Name/Downloads/SpliceR-master”)
5) The application should launch and be used interactively

About
Program for the prediction of BE-splice sgRNAs for base editor mediated knockout
Resources
Readme
Activity
Custom properties
Stars
5 stars
Watchers
1 watching
Forks
4 forks
Report repository
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Packages
Contributors
Languages

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var __m = "*";
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SpliceR version 1.2.0
Hello! Welcome to SpliceR! We hope that our program can be of use for your design of base editing sgRNAs for protein disruption.
If you are noticing any errors when using the application please feel free to reach out Mitch and Branden at klues009@umn.edu and mori0164@umn.edu for troubleshooting and input on the application.
To run this program online visit this webpage:
z.umn.edu/splicer
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(shiny)
library(Biostrings)
library(magrittr)
library(stringi)
library(dplyr)
library(tidyr)
library(ggplot2)
library(grr)
library(printr)
library(plyr)
library(readr)
library(printr)
library(rmarkdown)
library(DT)
library(httr)
library(curl)
3) Determine the directory of the SpliceR app on your computer. It will look something like this:
/Users/Name/Downloads/SpliceR-master
4) 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/Name/Downloads/SpliceR-master”)
5) The application should launch and be used interactively

About
Program for the prediction of BE-splice sgRNAs for base editor mediated knockout
Resources
Readme
Activity
Custom properties
Stars
5 stars
Watchers
1 watching
Forks
4 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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SpliceR version 1.2.0
Hello! Welcome to SpliceR! We hope that our program can be of use for your design of base editing sgRNAs for protein disruption.
If you are noticing any errors when using the application please feel free to reach out Mitch and Branden at klues009@umn.edu and mori0164@umn.edu for troubleshooting and input on the application.
To run this program online visit this webpage:
z.umn.edu/splicer
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(shiny)
library(Biostrings)
library(magrittr)
library(stringi)
library(dplyr)
library(tidyr)
library(ggplot2)
library(grr)
library(printr)
library(plyr)
library(readr)
library(printr)
library(rmarkdown)
library(DT)
library(httr)
library(curl)
3) Determine the directory of the SpliceR app on your computer. It will look something like this:
/Users/Name/Downloads/SpliceR-master
4) 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/Name/Downloads/SpliceR-master”)
5) The application should launch and be used interactively

About
Program for the prediction of BE-splice sgRNAs for base editor mediated knockout
Resources
Readme
Activity
Custom properties
Stars
5 stars
Watchers
1 watching
Forks
4 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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SpliceR version 1.2.0
Hello! Welcome to SpliceR! We hope that our program can be of use for your design of base editing sgRNAs for protein disruption.
If you are noticing any errors when using the application please feel free to reach out Mitch and Branden at klues009@umn.edu and mori0164@umn.edu for troubleshooting and input on the application.
To run this program online visit this webpage:
z.umn.edu/splicer
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(shiny)
library(Biostrings)
library(magrittr)
library(stringi)
library(dplyr)
library(tidyr)
library(ggplot2)
library(grr)
library(printr)
library(plyr)
library(readr)
library(printr)
library(rmarkdown)
library(DT)
library(httr)
library(curl)
3) Determine the directory of the SpliceR app on your computer. It will look something like this:
/Users/Name/Downloads/SpliceR-master
4) 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/Name/Downloads/SpliceR-master”)
5) The application should launch and be used interactively

About
Program for the prediction of BE-splice sgRNAs for base editor mediated knockout
Resources
Readme
Activity
Custom properties
Stars
5 stars
Watchers
1 watching
Forks
4 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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SpliceR version 1.2.0
Hello! Welcome to SpliceR! We hope that our program can be of use for your design of base editing sgRNAs for protein disruption.
If you are noticing any errors when using the application please feel free to reach out Mitch and Branden at klues009@umn.edu and mori0164@umn.edu for troubleshooting and input on the application.
To run this program online visit this webpage:
z.umn.edu/splicer
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(shiny)
library(Biostrings)
library(magrittr)
library(stringi)
library(dplyr)
library(tidyr)
library(ggplot2)
library(grr)
library(printr)
library(plyr)
library(readr)
library(printr)
library(rmarkdown)
library(DT)
library(httr)
library(curl)
3) Determine the directory of the SpliceR app on your computer. It will look something like this:
/Users/Name/Downloads/SpliceR-master
4) 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/Name/Downloads/SpliceR-master”)
5) The application should launch and be used interactively

About
Program for the prediction of BE-splice sgRNAs for base editor mediated knockout
Resources
Readme
Activity
Custom properties
Stars
5 stars
Watchers
1 watching
Forks
4 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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SpliceR version 1.2.0
Hello! Welcome to SpliceR! We hope that our program can be of use for your design of base editing sgRNAs for protein disruption.
If you are noticing any errors when using the application please feel free to reach out Mitch and Branden at klues009@umn.edu and mori0164@umn.edu for troubleshooting and input on the application.
To run this program online visit this webpage:
z.umn.edu/splicer
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(shiny)
library(Biostrings)
library(magrittr)
library(stringi)
library(dplyr)
library(tidyr)
library(ggplot2)
library(grr)
library(printr)
library(plyr)
library(readr)
library(printr)
library(rmarkdown)
library(DT)
library(httr)
library(curl)
3) Determine the directory of the SpliceR app on your computer. It will look something like this:
/Users/Name/Downloads/SpliceR-master
4) 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/Name/Downloads/SpliceR-master”)
5) The application should launch and be used interactively

About
Program for the prediction of BE-splice sgRNAs for base editor mediated knockout
Resources
Readme
Activity
Custom properties
Stars
5 stars
Watchers
1 watching
Forks
4 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
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var enabled = true;
function applyDarkMode() {
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console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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SpliceR version 1.2.0
Hello! Welcome to SpliceR! We hope that our program can be of use for your design of base editing sgRNAs for protein disruption.
If you are noticing any errors when using the application please feel free to reach out Mitch and Branden at klues009@umn.edu and mori0164@umn.edu for troubleshooting and input on the application.
To run this program online visit this webpage:
z.umn.edu/splicer
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(shiny)
library(Biostrings)
library(magrittr)
library(stringi)
library(dplyr)
library(tidyr)
library(ggplot2)
library(grr)
library(printr)
library(plyr)
library(readr)
library(printr)
library(rmarkdown)
library(DT)
library(httr)
library(curl)
3) Determine the directory of the SpliceR app on your computer. It will look something like this:
/Users/Name/Downloads/SpliceR-master
4) 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/Name/Downloads/SpliceR-master”)
5) The application should launch and be used interactively

About
Program for the prediction of BE-splice sgRNAs for base editor mediated knockout
Resources
Readme
Activity
Custom properties
Stars
5 stars
Watchers
1 watching
Forks
4 forks
Report repository
Releases
Packages
Contributors
Languages