Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity
Published 2018 View Full Article
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Title
Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity
Authors
Keywords
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Journal
NATURE BIOTECHNOLOGY
Volume 36, Issue 3, Pages 239-241
Publisher
Springer Nature
Online
2018-01-30
DOI
10.1038/nbt.4061
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Related references
Note: Only part of the references are listed.- Generation of targeted mutant rice using a CRISPR-Cpf1 system
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- Crystal Structure of Cpf1 in Complex with Guide RNA and Target DNA
- (2016) Takashi Yamano et al. CELL
- Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks
- (2016) David R. Kelley et al. GENOME RESEARCH
- Generation of knockout mice by Cpf1-mediated gene targeting
- (2016) Yongsub Kim et al. NATURE BIOTECHNOLOGY
- Targeted mutagenesis in mice by electroporation of Cpf1 ribonucleoproteins
- (2016) Junho K Hur et al. NATURE BIOTECHNOLOGY
- Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9
- (2016) John G Doench et al. NATURE BIOTECHNOLOGY
- Multiplex gene editing by CRISPR–Cpf1 using a single crRNA array
- (2016) Bernd Zetsche et al. NATURE BIOTECHNOLOGY
- Genome-wide specificities of CRISPR-Cas Cpf1 nucleases in human cells
- (2016) Benjamin P Kleinstiver et al. NATURE BIOTECHNOLOGY
- Genome-wide analysis reveals specificities of Cpf1 endonucleases in human cells
- (2016) Daesik Kim et al. NATURE BIOTECHNOLOGY
- In vivo high-throughput profiling of CRISPR–Cpf1 activity
- (2016) Hui K Kim et al. NATURE METHODS
- Cpf1 Is a Single RNA-Guided Endonuclease of a Class 2 CRISPR-Cas System
- (2015) Bernd Zetsche et al. CELL
- Sequence determinants of improved CRISPR sgRNA design
- (2015) Han Xu et al. GENOME RESEARCH
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
- (2015) Babak Alipanahi et al. NATURE BIOTECHNOLOGY
- CRISPRscan: designing highly efficient sgRNAs for CRISPR-Cas9 targeting in vivo
- (2015) Miguel A Moreno-Mateos et al. NATURE METHODS
- Unraveling CRISPR-Cas9 genome engineering parameters via a library-on-library approach
- (2015) Raj Chari et al. NATURE METHODS
- Rational design of highly active sgRNAs for CRISPR-Cas9–mediated gene inactivation
- (2014) John G Doench et al. NATURE BIOTECHNOLOGY
- Genetic Screens in Human Cells Using the CRISPR-Cas9 System
- (2013) Tim Wang et al. SCIENCE
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
- (2009) Ben Langmead et al. GENOME BIOLOGY
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