AIMC Topic: Gene Editing

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CRISPR-Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning.

Nucleic acids research Apr 22, 2022
The clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 (Cas9) system has become a successful and promising technology for gene-editing. To facilitate its effective application, various computational tools ha...
CRISPR-Cas Systems Gene Editing RNA, Guide, CRISPR-Cas Systems Deep Learning
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Uncertainty-aware and interpretable evaluation of Cas9-gRNA and Cas12a-gRNA specificity for fully matched and partially mismatched targets with Deep Kernel Learning.

Nucleic acids research Jan 25, 2022
The choice of guide RNA (gRNA) for CRISPR-based gene targeting is an essential step in gene editing applications, but the prediction of gRNA specificity remains challenging. Lack of transparency and focus on point estimates of efficiency disregarding...
Humans CRISPR-Cas Systems Algorithms Neural Networks, Computer Gene Editing Reproducibility of Results Deep Learning RNA, Guide, CRISPR-Cas Systems Gene Targeting Genomics
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CROTON: an automated and variant-aware deep learning framework for predicting CRISPR/Cas9 editing outcomes.

Bioinformatics (Oxford, England) Jul 12, 2021
MOTIVATION: CRISPR/Cas9 is a revolutionary gene-editing technology that has been widely utilized in biology, biotechnology and medicine. CRISPR/Cas9 editing outcomes depend on local DNA sequences at the target site and are thus predictable. However, ...
RNA, Guide, CRISPR-Cas Systems CRISPR-Cas Systems Neural Networks, Computer Clustered Regularly Interspaced Short Palindromic Repeats Deep Learning Gene Editing
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[Construction of Escherichia coli cell factories].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology May 25, 2021
As an important model industrial microorganism, Escherichia coli has been widely used in pharmaceutical, chemical industry and agriculture. In the past 30 years, a variety of new strategies and techniques, including artificial intelligence, gene edit...
Metabolic Networks and Pathways Gene Editing Metabolic Engineering Artificial Intelligence Escherichia coli
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Domain-specific introduction to machine learning terminology, pitfalls and opportunities in CRISPR-based gene editing.

Briefings in bioinformatics Jan 18, 2021
The use of machine learning (ML) has become prevalent in the genome engineering space, with applications ranging from predicting target site efficiency to forecasting the outcome of repair events. However, jargon and ML-specific accuracy measures hav...
Genomics CRISPR-Cas Systems Gene Editing Machine Learning Animals Humans
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An Examination of Public Discourse on Human Gene Editing Using Natural Language Processing.

The CRISPR journal Aug 1, 2020
This research aims to explore the different ways in which scientists, ethicists, journalists, and commissions speak to the public about new gene-editing technologies. The research collected more than 100,000 sentences from books, news articles, and r...
Gene Editing Public Opinion Ethicists Judgment Humans Natural Language Processing Research Personnel
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Revisiting CRISPR/Cas-mediated crop improvement: Special focus on nutrition.

Journal of biosciences Jan 1, 2020
Genome editing (GE) technology has emerged as a multifaceted strategy that instantaneously popularised the mechanism to modify the genetic constitution of an organism. The clustered regularly interspaced short palindromic repeat (CRISPR) and CRISPR-a...
Endonucleases Artificial Intelligence Genome, Plant CRISPR-Cas Systems Gene Editing DNA Breaks, Double-Stranded Crops, Agricultural
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The scientific events that shaped the decade.

Nature Dec 1, 2019
Bias CRISPR-Cas Systems Climate Change Gene Editing Microbiota Infant, Newborn Big Data Genomics Artificial Intelligence Humans Female Physics Environmental Policy Social Change Conservation of Energy Resources Gravitation
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The Kipoi repository accelerates community exchange and reuse of predictive models for genomics.

Nature biotechnology Jun 1, 2019
Humans Machine Learning Databases, Factual Genome, Human Genomics Gene Editing Whole Genome Sequencing
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Technologies to watch in 2019.

Nature Jan 1, 2019
Neural Pathways Genomics Cryoelectron Microscopy Brain Mapping Synthetic Biology CRISPR-Cas Systems Deep Learning Humans Gene Editing Single-Cell Analysis Animals
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