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Plos Computational Biology|March 10, 2023
G4mismatch: Deep neural networks to predict G-quadruplex propensity based on G4-seq dataMira Barshai, Barak Engel, Idan Haim, et al.IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 19, 2021
G4detector: Convolutional Neural Network to Predict DNA G-QuadruplexesMira Barshai, Alice Aubert, Yaron OrensteinACS Chemical Biology|March 29, 2020
Custom DNA Microarrays Reveal Diverse Binding Preferences of Proteins and Small Molecules to Thousands of G-QuadruplexesSreejana Ray, Desiree Tillo, Robert E Boer, et al.Nucleic Acids Research|November 9, 2022
rG4detector, a novel RNA G-quadruplex predictor, uncovers their impact on stress granule formationMaor Turner, Yehuda M Danino, Mira Barshai, et al.Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 30, 2020
Reverse de Bruijn: Utilizing Reverse Peptide Synthesis to Cover All Amino Acid <i>k</i>-mersYaron OrensteinMethods in Molecular Biology (Clifton, N.J.)|February 19, 2021
Improved Analysis of High-Throughput Sequencing Data Using Small Universal k-Mer Hitting SetsYaron OrensteinBriefings in Bioinformatics|May 21, 2021
A comparative analysis of RNA-binding proteins binding models learned from RNAcompete, RNA Bind-n-Seq and eCLIP dataEitamar Tripto, Yaron OrensteinNucleic Acids Research|February 7, 2014
A comparative analysis of transcription factor binding models learned from PBM, HT-SELEX and ChIP dataYaron Orenstein, Ron ShamirBioinformatics (Oxford, England)|June 27, 2022
DeepCRISTL: deep transfer learning to predict CRISPR/Cas9 functional and endogenous on-target editing efficiencyShai Elkayam, Yaron OrensteinNucleic Acids Research|May 30, 2024
Generating, modeling and evaluating a large-scale set of CRISPR/Cas9 off-target sites with bulgesOfir Yaish, Yaron OrensteinPageof 6