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MIA: Jennifer Listgarten, Machine-Learning-Based CRISPR Guide Design
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November 15, 2017
Jennifer Listgarten
Microsoft Research
Machine-Learning-Based CRISPR Guide Design
Abstract: Effective guide design is a key part of CRISPR-Cas9 deployment. Although molecular biology is working to improve CRISPR-Cas9 and related systems, one can make the guide design process more effective by using machine learning. We will discuss our state-of-the-art machine-learning based guide design models for both on-target (Azimuth) and off-target (Elevation) prediction.
For more information on the Broad Institute and MIA visit:
Copyright Broad Institute, 2017. All rights reserved.
Jennifer Listgarten
Microsoft Research
Machine-Learning-Based CRISPR Guide Design
Abstract: Effective guide design is a key part of CRISPR-Cas9 deployment. Although molecular biology is working to improve CRISPR-Cas9 and related systems, one can make the guide design process more effective by using machine learning. We will discuss our state-of-the-art machine-learning based guide design models for both on-target (Azimuth) and off-target (Elevation) prediction.
For more information on the Broad Institute and MIA visit:
Copyright Broad Institute, 2017. All rights reserved.
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