Yaron Orenstein

Orcid: 0000-0002-3583-3112

According to our database1, Yaron Orenstein authored at least 28 papers between 2011 and 2023.

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Bibliography

2023
An overview on nucleic-acid G-quadruplex prediction: from rule-based methods to deep neural networks.
Briefings Bioinform., July, 2023

G4mismatch: Deep neural networks to predict G-quadruplex propensity based on G4-seq data.
PLoS Comput. Biol., March, 2023

2022
G4detector: Convolutional Neural Network to Predict DNA G-Quadruplexes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Predicting the pathogenicity of bacterial genomes using widely spread protein families.
BMC Bioinform., 2022

Computational modeling of mRNA degradation dynamics using deep neural networks.
Bioinform., 2022

A systematic evaluation of data processing and problem formulation of CRISPR off-target site prediction.
Briefings Bioinform., 2022

rG4detector: convolutional neural network to predict RNA G-quadruplex propensity based on rG4-seq data.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021
A comparative analysis of RNA-binding proteins binding models learned from RNAcompete, RNA Bind-n-Seq and eCLIP data.
Briefings Bioinform., 2021

MultiRBP: multi-task neural network for protein-RNA binding prediction.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Improving the efficiency of de Bruijn graph construction using compact universal hitting sets.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020
Reverse de Bruijn: Utilizing Reverse Peptide Synthesis to Cover All Amino Acid k-mers.
J. Comput. Biol., 2020

DeCoDe: degenerate codon design for complete protein-coding DNA libraries.
Bioinform., 2020

A Randomized Parallel Algorithm for Efficiently Finding Near-Optimal Universal Hitting Sets.
Proceedings of the Research in Computational Molecular Biology, 2020

2019
Predicting G-quadruplexes from DNA Sequences Using Multi-Kernel Convolutional Neural Networks.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018
Joker de Bruijn: Covering <i>k</i>-Mers Using Joker Characters.
J. Comput. Biol., 2018

A deep neural network approach for learning intrinsic protein-RNA binding preferences.
Bioinform., 2018

2017
Designing small universal k-mer hitting sets for improved analysis of high-throughput sequencing.
PLoS Comput. Biol., 2017

Improving the performance of minimizers and winnowing schemes.
Bioinform., 2017

Joker de Bruijn: Sequence Libraries to Cover All k-mers Using Joker Characters.
Proceedings of the Research in Computational Molecular Biology, 2017

Computational Modeling of Protein-RNA Interactions.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Efficient Design of Compact Unstructured RNA Libraries Covering All <i>k</i>-mers.
J. Comput. Biol., 2016

RCK: accurate and efficient inference of sequence- and structure-based protein-RNA binding models from RNAcompete data.
Bioinform., 2016

Compact Universal k-mer Hitting Sets.
Proceedings of the Algorithms in Bioinformatics - 16th International Workshop, 2016

2015
Design of shortest double-stranded DNA sequences covering all <i>k</i>-mers with applications to protein-binding microarrays and synthetic enhancers.
Bioinform., 2015

Efficient Design of Compact Unstructured RNA Libraries Covering All k-mers.
Proceedings of the Algorithms in Bioinformatics - 15th International Workshop, 2015

2014
Discovering motifs using high-throughput in vitro data
PhD thesis, 2014

2013
RAP: Accurate and Fast Motif Finding Based on Protein-Binding Microarray Data.
J. Comput. Biol., 2013

2011
Testing Eulerianity and connectivity in directed sparse graphs.
Theor. Comput. Sci., 2011


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