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Activity Number: 522 - Contributed Poster Presentations: Biometrics Section
Type: Contributed
Date/Time: Wednesday, July 31, 2019 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract #307202
Title: Predicting On-Target CRISPR-Cas9 Cleavage Efficiency
Author(s): Oscar Zarate* and Ji-Ping Wang
Companies: Northwestern University and Northwestern University
Keywords: CRISPR; bioinformatics; gene editing

The determinants of CRISPR-Cas9 cleavage efficiency have been well-studied since the inception of the technology. Sequence features corresponding to the target site and flanking regions, including position-specific nucleotides, total nucleotide frequency, and GC content have been used in predictive models, as have PAM (protospacer adjacent motif) characteristics and features derived from thermodynamic properties. Here we incorporate additional sequence-based features and genomic characteristics into a predictive model and evaluate their performance in predicting cleavage efficiency using data from published gene-knockout experiments.

Authors who are presenting talks have a * after their name.

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