Back to search

Article

Deep learning improves the ability of sgRNA off-target propensity prediction

2020-02-05

Abstract excerpt

<title>Abstract</title> <p>Background CRISPR/Cas9 system, as the third-generation genome editing technology, has been widely applied in target gene repair and gene expression regulation. Selection of appropriate sgRNA can improve the on-target knockout efficacy of CRISPR/Cas9 system with high sensitivity and specificity. However, when CRISPR/Cas9 system is operating, unexpected cleavage may occur at some sites, k...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
dba9e14d-1229-5ca1-b67d-137adb3e17ce
DOI
10.21203/rs.2.18444/v3
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep learning improves the ability of sgRNA off-target propensity predictionDOI 10.21203/rs.2.18444/v3
Select a neighboring publication to make it the new centre.