User profiles for Y. Orenstein

Yaron Orenstein

Computer Science and Life Sciences, Bar-Ilan University
Verified email at biu.ac.il
Cited by 1539

An overview on nucleic-acid G-quadruplex prediction: from rule-based methods to deep neural networks

K Elimelech-Zohar, Y Orenstein - Briefings in Bioinformatics, 2023 - academic.oup.com
Nucleic-acid G-quadruplexes (G4s) play vital roles in many cellular processes. Due to their
importance, researchers have developed experimental assays to measure nucleic-acid G4s …

Transcription factor family‐specific DNA shape readout revealed by quantitative specificity models

L Yang, Y Orenstein, A Jolma, Y Yin… - Molecular systems …, 2017 - embopress.org
Transcription factors ( TF s) achieve DNA ‐binding specificity through contacts with functional
groups of bases (base readout) and readout of structural properties of the double helix (…

A comparative analysis of transcription factor binding models learned from PBM, HT-SELEX and ChIP data

Y Orenstein, R Shamir - Nucleic acids research, 2014 - academic.oup.com
Understanding gene regulation is a key challenge in today's biology. The new technologies
of protein-binding microarrays (PBMs) and high-throughput SELEX (HT-SELEX) allow …

RCK: accurate and efficient inference of sequence-and structure-based protein–RNA binding models from RNAcompete data

Y Orenstein, Y Wang, B Berger - Bioinformatics, 2016 - academic.oup.com
Motivation: Protein–RNA interactions, which play vital roles in many processes, are mediated
through both RNA sequence and structure. CLIP-based methods, which measure protein–…

rG4detector, a novel RNA G-quadruplex predictor, uncovers their impact on stress granule formation

…, D Monchaud, E Hornstein, Y Orenstein - Nucleic acids …, 2022 - academic.oup.com
… We thank members of Orenstein, Hornstein and Monchaud groups for helpful critiques, …
Research in the Orenstein lab was supported by the Israel Cancer Association [20221519]; Israel …

ElemeNT: a computational tool for detecting core promoter elements

A Sloutskin, YM Danino, Y Orenstein, Y Zehavi… - …, 2015 - Taylor & Francis
Core promoter elements play a pivotal role in the transcriptional output, yet they are often
detected manually within sequences of interest. Here, we present 2 contributions to the …

A deep neural network approach for learning intrinsic protein-RNA binding preferences

I Ben-Bassat, B Chor, Y Orenstein - Bioinformatics, 2018 - academic.oup.com
Motivation The complexes formed by binding of proteins to RNAs play key roles in many
biological processes, such as splicing, gene expression regulation, translation and viral …

Comprehensive, high-resolution binding energy landscapes reveal context dependencies of transcription factor binding

…, AM Keys, SA Longwell, Y Orenstein… - Proceedings of the …, 2018 - National Acad Sciences
… Calculated assay accuracies ( r 2 × f r a c t i o n o f l i b r a r y o b s e r v e d ) for simulated
HTS of these distributions reveal two regimes with decreased accuracy (SI Appendix, Fig. S5): …

Improving the performance of minimizers and winnowing schemes

G Marçais, D Pellow, D Bork, Y Orenstein… - …, 2017 - academic.oup.com
… Let’s define the event Y i , j that the window W i is charged, given that there are j elements
of U k , w in the longer … Hence, when j = 1, W i cannot be charged and P [ Y i , 1 ] has to be 0. …

Custom DNA microarrays reveal diverse binding preferences of proteins and small molecules to thousands of G-quadruplexes

…, N Assad, M Barshai, G Wu, Y Orenstein… - ACS chemical …, 2020 - ACS Publications
… (A) Cy5-PDS binding (x-axis) vs binding in the presence of 100 nM TMPyP4 (y-axis). (B)
Cy5-PDS binding (x-axis) vs binding in the presence of 20 μM DC-34 (y-axis). Highlighted are …