
==== Front
Res Sq
ResearchSquare
Research Square
2693-5015
American Journal Experts

39184070
10.21203/rs.3.rs-4775705/v1
10.21203/rs.3.rs-4775705
preprint
1
Article
EditABLE: A Simple Web Application for Designing Genome Editing Experiments
Maxim Demetrios S.
Wu David Wei
Johnson Najani Shanee
Charu Vivek
Carter Jennefer N.
Anand Shuchi
Church George M.
Bhalla Vivek
16 8 2024
rs.3.rs-4775705https://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License, which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
https://www.researchsquare.com/article/rs-4775705/v1
nihpp-rs4775705v1.pdf
Abstract

CRISPR–Cas genome editing is transformative; however, there is no simple tool available for determining the optimal genome editing technology to create specific mutations for experimentation or to correct mutations as a curative therapy for specific diseases. We developed editABLE, an online resource (editable-app.stanford.edu) to provide computationally validated CRISPR editors and guide RNAs based on user provided sequence data. We demonstrate the utility of editABLE by applying it to one of the most common monogenic disorders, autosomal dominant polycystic kidney disease (ADPKD), identifying specific editing tools across the landscape of ADPKD mutations.
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