A systematic evaluation of nucleotide properties for CRISPR sgRNA design.

Pei Fen KuanScott PowersShuyao HeKaiqiao LiXiaoyu ZhaoBo Huang

Published in: BMC bioinformatics (2017)

Using a machine-learning approach, we proposed an accurate prediction model for sgRNA design efficiency. An R package predictSGRNA implementing the predictive model is available at http://www.ams.sunysb.edu/~pfkuan/softwares.html#predictsgrna .

Keyphrases

machine learning
crispr cas
genome wide
genome editing
artificial intelligence
high resolution
quality improvement
big data
dna methylation
mass spectrometry