Author

Ofir Yaish

Ben-Gurion University of the NegevORCID 0000-0002-7113-0684Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Assay:CRISPR screen· 2 Approach:statistical model· 2 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Organism:plant (other)· 1

Frequent Co-Authors

Yaron OrensteiniD· 3 shared Adi Yahalom· 1 shared Alina Wiener· 1 shared Amir SagiiD· 1 shared Anat Lavi-Itzkovitz· 1 shared Anat Maoz· 1 shared Anna RiceiD· 1 shared Asaph AharoniiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Yaron OrensteinORCID

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3 papers

Recent·Most cited

Context-dependent determinants of CRISPR-Cas9 editing efficiency revealed through cross-species endogenous editing analysis

Shai Cohen, Shaked Bergman, Adi Yahalom, Alina Wiener, Anat Lavi-Itzkovitz, Anat Maoz, Anna Rice, Dan Dominissini, Dana Furest, David Simanovich Zini, Dongqi Li, Dov Gertz, Ehud Landau, Ester Yeshayahou, Eyal Emmanuel, , Tamir Tuller

The paper identifies context-dependent factors affecting CRISPR-Cas9 editing efficiency across species using endogenous editing data and shows that repair outcomes are conserved.

bioRxiv · Mar 18, 2026 · PreprintSynthetic Biology

Generating, modeling, and evaluating a large-scale set of CRISPR/Cas9 off-target sites with bulges

Ofir Yaish, Yaron Orenstein

The paper generates a comprehensive GUIDE-seq dataset with bulges, trains and evaluates machine-learning models to predict off-target sites with bulges, and visualizes model features.

Nucleic Acids Research · May 30, 2024Peer-reviewedBioinformatics

A systematic evaluation of data processing and problem formulation of CRISPR off-target site prediction

Ofir Yaish, Maor Asif, Yaron Orenstein

The paper evaluates CRISPR off-target site prediction methods using large-scale in vitro and in vivo datasets, highlighting the importance of data preprocessing, inactive site inclusion, and mismatch features.

Briefings in Bioinformatics · Apr 14, 2022Peer-reviewedBioinformatics