Prediction of activity and specificity of CRISPR-Cpf1 using convolutional deep learning neural networks
Published 2019 View Full Article
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Title
Prediction of activity and specificity of CRISPR-Cpf1 using convolutional deep learning neural networks
Authors
Keywords
CRISPR, Guide RNAs design, Deep learning
Journal
BMC BIOINFORMATICS
Volume 20, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-06-14
DOI
10.1186/s12859-019-2939-6
References
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Note: Only part of the references are listed.- Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity
- (2018) Hui Kwon Kim et al. NATURE BIOTECHNOLOGY
- Building the Class 2 CRISPR-Cas Arsenal
- (2017) Kevin M. Lewis et al. MOLECULAR CELL
- Structural Basis for Guide RNA Processing and Seed-Dependent DNA Targeting by CRISPR-Cas12a
- (2017) Daan C. Swarts et al. MOLECULAR CELL
- Cas13b Is a Type VI-B CRISPR-Associated RNA-Guided RNase Differentially Regulated by Accessory Proteins Csx27 and Csx28
- (2017) Aaron A. Smargon et al. MOLECULAR CELL
- Precise base editing in rice, wheat and maize with a Cas9-cytidine deaminase fusion
- (2017) Yuan Zong et al. NATURE BIOTECHNOLOGY
- Highly efficient RNA-guided base editing in mouse embryos
- (2017) Kyoungmi Kim et al. NATURE BIOTECHNOLOGY
- Diversity and evolution of class 2 CRISPR–Cas systems
- (2017) Sergey Shmakov et al. NATURE REVIEWS MICROBIOLOGY
- kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences
- (2017) Xuebing Wu et al. NUCLEIC ACIDS RESEARCH
- In Silico Meets In Vivo : Towards Computational CRISPR-Based sgRNA Design
- (2017) Guo-hui Chuai et al. TRENDS IN BIOTECHNOLOGY
- Programmable RNA Tracking in Live Cells with CRISPR/Cas9
- (2016) David A. Nelles et al. CELL
- Crystal Structure of Cpf1 in Complex with Guide RNA and Target DNA
- (2016) Takashi Yamano et al. CELL
- Methods for Optimizing CRISPR-Cas9 Genome Editing Specificity
- (2016) Josh Tycko et al. MOLECULAR CELL
- The CRISPR-associated DNA-cleaving enzyme Cpf1 also processes precursor CRISPR RNA
- (2016) Ines Fonfara et al. NATURE
- The crystal structure of Cpf1 in complex with CRISPR RNA
- (2016) De Dong et al. NATURE
- New CRISPR–Cas systems from uncultivated microbes
- (2016) David Burstein et al. NATURE
- Generation of knockout mice by Cpf1-mediated gene targeting
- (2016) Yongsub Kim et al. NATURE BIOTECHNOLOGY
- Genome-scale deletion screening of human long non-coding RNAs using a paired-guide RNA CRISPR–Cas9 library
- (2016) Shiyou Zhu 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
- In vivo high-throughput profiling of CRISPR–Cpf1 activity
- (2016) Hui K Kim et al. NATURE METHODS
- CRISPRi-based genome-scale identification of functional long noncoding RNA loci in human cells
- (2016) S. John Liu et al. SCIENCE
- Cpf1 Is a Single RNA-Guided Endonuclease of a Class 2 CRISPR-Cas System
- (2015) Bernd Zetsche et al. CELL
- Deep learning
- (2015) Yann LeCun et al. NATURE
- A CRISPR-Cas9 gene drive system targeting female reproduction in the malaria mosquito vector Anopheles gambiae
- (2015) Andrew Hammond et al. NATURE BIOTECHNOLOGY
- Highly specific epigenome editing by CRISPR-Cas9 repressors for silencing of distal regulatory elements
- (2015) Pratiksha I Thakore et al. NATURE METHODS
- An updated evolutionary classification of CRISPR–Cas systems
- (2015) Kira S. Makarova et al. NATURE REVIEWS MICROBIOLOGY
- Cas9-chromatin binding information enables more accurate CRISPR off-target prediction
- (2015) Ritambhara Singh et al. NUCLEIC ACIDS RESEARCH
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- CasOT: a genome-wide Cas9/gRNA off-target searching tool
- (2014) A. Xiao et al. BIOINFORMATICS
- Cas-OFFinder: a fast and versatile algorithm that searches for potential off-target sites of Cas9 RNA-guided endonucleases
- (2014) S. Bae et al. BIOINFORMATICS
- DNA targeting specificity of RNA-guided Cas9 nucleases
- (2013) Patrick D Hsu et al. NATURE BIOTECHNOLOGY
- CRISPRTarget
- (2013) Ambarish Biswas et al. RNA Biology
- RNA-Guided Human Genome Engineering via Cas9
- (2013) P. Mali et al. SCIENCE
- Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells
- (2013) Ophir Shalem et al. SCIENCE
- Genetic Screens in Human Cells Using the CRISPR-Cas9 System
- (2013) Tim Wang et al. SCIENCE
- Multiplex Genome Engineering Using CRISPR/Cas Systems
- (2013) L. Cong et al. SCIENCE
- A Programmable Dual-RNA-Guided DNA Endonuclease in Adaptive Bacterial Immunity
- (2012) M. Jinek et al. SCIENCE
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