logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Return

Easy-Prime: a machine learning-based prime editor design tool

delete2021-08-19
delete41
delete
OA
AI
Y
Yichao Li
J
Jingjing Chen
S
Shengdar Q. Tsai
Y
Yong Cheng *
DOI：10.1186/s13059-021-02458-0delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Prime editing is a revolutionary genome-editing technology that can make a wide range of precise edits in DNA. However, designing highly efficient prime editors (PEs) remains challenging. We develop Easy-Prime, a machine learning-based program trained with multiple published data sources. Easy-Prime captures both known and novel features, such as RNA folding structure, and optimizes feature combinations to improve editing efficiency. We provide optimized PE design for installation of 89.5% of 152,351 GWAS variants. Easy-Prime is available both as a command line tool and an interactive PE design server at: http://easy-prime.cc/.
Keywords:
Prime editor
Machine learning
pegRNA design
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

G
Genome Biology
IF:
9.4
Papers:
6.4K
Citations:
7.3W

Organization

No organization information available