标题
Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity
作者
关键词
-
出版物
NATURE BIOTECHNOLOGY
Volume 36, Issue 3, Pages 239-241
出版商
Springer Nature
发表日期
2018-01-30
DOI
10.1038/nbt.4061
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Generation of targeted mutant rice using a CRISPR-Cpf1 system
- (2017) Rongfang Xu et al. PLANT BIOTECHNOLOGY JOURNAL
- sgRNA Scorer 2.0: A Species-Independent Model To Predict CRISPR/Cas9 Activity
- (2017) Raj Chari et al. ACS Synthetic Biology
- 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
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now