标题
Sequence-to-function deep learning frameworks for engineered riboregulators
作者
关键词
-
出版物
Nature Communications
Volume 11, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-10-07
DOI
10.1038/s41467-020-18676-2
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding
- (2020) Roujian Lu et al. LANCET
- An intelligent computational model for prediction of promoters and their strength via natural language processing
- (2020) Muhammad Tahir et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A deep learning approach to programmable RNA switches
- (2020) Nicolaas M. Angenent-Mari et al. Nature Communications
- MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease
- (2019) Jaclyn N. Taroni et al. Cell Systems
- Comprehensive evaluation of deep learning architectures for prediction of DNA/RNA sequence binding specificities
- (2019) Ameni Trabelsi et al. BIOINFORMATICS
- Adapting machine-learning algorithms to design gene circuits
- (2019) Tom W. Hiscock BMC BIOINFORMATICS
- A Deep Neural Network for Predicting and Engineering Alternative Polyadenylation
- (2019) Nicholas Bogard et al. CELL
- Machine-learning-guided directed evolution for protein engineering
- (2019) Kevin K. Yang et al. NATURE METHODS
- Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively parallel reporter assays
- (2019) Rajiv Movva et al. PLoS One
- De novo-designed translation-repressing riboregulators for multi-input cellular logic
- (2019) Jongmin Kim et al. Nature Chemical Biology
- Logomaker: beautiful sequence logos in Python
- (2019) Ammar Tareen et al. BIOINFORMATICS
- Programmable Inhibition and Detection of RNA Viruses Using Cas13
- (2019) Catherine A. Freije et al. MOLECULAR CELL
- Representation learning of genomic sequence motifs with convolutional neural networks
- (2019) Peter K. Koo et al. PLoS Computational Biology
- A comprehensive web tool for toehold switch design
- (2018) Andrew Ching-Yuet To et al. BIOINFORMATICS
- pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks
- (2018) Stefan Budach et al. BIOINFORMATICS
- Next-Generation Machine Learning for Biological Networks
- (2018) Diogo M. Camacho et al. CELL
- Opportunities and obstacles for deep learning in biology and medicine
- (2018) Travers Ching et al. Journal of the Royal Society Interface
- Evaluation of 244,000 synthetic sequences reveals design principles to optimize translation in Escherichia coli
- (2018) Guillaume Cambray et al. NATURE BIOTECHNOLOGY
- A primer on deep learning in genomics
- (2018) James Zou et al. NATURE GENETICS
- Tuning the Performance of Synthetic Riboswitches using Machine Learning
- (2018) Ann-Christin Groher et al. ACS Synthetic Biology
- Deep learning of the regulatory grammar of yeast 5′ untranslated regions from 500,000 random sequences
- (2017) Josh T. Cuperus et al. GENOME RESEARCH
- Convolutional neural network architectures for predicting DNA–protein binding
- (2016) Haoyang Zeng et al. BIOINFORMATICS
- Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components
- (2016) Keith Pardee et al. CELL
- A Primer on Neural Network Models for Natural Language Processing
- (2016) Yoav Goldberg JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
- A semi-supervised learning approach for RNA secondary structure prediction
- (2015) Haruka Yonemoto et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Toehold Switches: De-Novo-Designed Regulators of Gene Expression
- (2014) Alexander A. Green et al. CELL
- Paper-Based Synthetic Gene Networks
- (2014) Keith Pardee et al. CELL
- A Decade of Riboswitches
- (2013) Alexander Serganov et al. CELL
- A modular strategy for engineering orthogonal chimeric RNA transcription regulators
- (2013) Melissa K. Takahashi et al. NUCLEIC ACIDS RESEARCH
- Rationally designed families of orthogonal RNA regulators of translation
- (2012) Vivek K Mutalik et al. Nature Chemical Biology
- Wisdom of crowds for robust gene network inference
- (2012) Daniel Marbach et al. NATURE METHODS
- De novo automated design of small RNA circuits for engineering synthetic riboregulation in living cells
- (2012) G. Rodrigo et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- ViennaRNA Package 2.0
- (2011) Ronny Lorenz et al. Algorithms for Molecular Biology
- Nucleic acid sequence design via efficient ensemble defect optimization
- (2010) Joseph N. Zadeh et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence
- (2010) J. B. Kinney et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Tracking, tuning, and terminating microbial physiology using synthetic riboregulators
- (2010) J. M. Callura et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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