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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)
3) 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
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/kluesner/Downloads/MultiEditR-master”)
5) 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

About

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

Resources

Readme
Activity
Custom properties

Stars

6 stars

Watchers

1 watching

Forks

2 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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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)
3) 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
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/kluesner/Downloads/MultiEditR-master”)
5) 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
About
MultiEditR: An easy validation method for detecting and quantifying RNA editing from Sanger sequencing
Resources
Readme
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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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)
3) 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
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/kluesner/Downloads/MultiEditR-master”)
5) 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
About
MultiEditR: An easy validation method for detecting and quantifying RNA editing from Sanger sequencing
Resources
Readme
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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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)
3) 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
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/kluesner/Downloads/MultiEditR-master”)
5) 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
About
MultiEditR: An easy validation method for detecting and quantifying RNA editing from Sanger sequencing
Resources
Readme
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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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)
3) 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
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/kluesner/Downloads/MultiEditR-master”)
5) 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
About
MultiEditR: An easy validation method for detecting and quantifying RNA editing from Sanger sequencing
Resources
Readme
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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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)
3) 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
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/kluesner/Downloads/MultiEditR-master”)
5) 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
About
MultiEditR: An easy validation method for detecting and quantifying RNA editing from Sanger sequencing
Resources
Readme
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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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)
3) 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
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/kluesner/Downloads/MultiEditR-master”)
5) 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
About
MultiEditR: An easy validation method for detecting and quantifying RNA editing from Sanger sequencing
Resources
Readme
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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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)
3) 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
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/kluesner/Downloads/MultiEditR-master”)
5) 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
About
MultiEditR: An easy validation method for detecting and quantifying RNA editing from Sanger sequencing
Resources
Readme
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages