ArticleResearch square2024
EditABLE: A Simple Web Application for Designing Genome Editing Experiments.
Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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8 authors.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.