Author

Tahir Detinis Zur

Tel Aviv UniversityORCID 0000-0002-2772-9286Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 5 Organism:human· 4 Research Focus:variant calling· 4 Approach:experimental assay· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Yuval EbensteiniD· 5 shared Sapir Margalit· 3 shared Yevgeni NoginiD· 3 shared Yoav ShechtmaniD· 3 shared Assaf Grunwald· 2 shared Benjamin DekeliD· 2 shared Dorit Omer· 2 shared Gil Nifker· 2 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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5 shared papersBioinformatics

Yuval EbensteinORCID

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Author profile →

5 papers

Recent·Most cited

Optical Genome and Epigenome Mapping of Clear Cell Renal Cell Carcinoma

Sapir Margalit, Zuzana Tulpová, Yael Michaeli, Tahir Detinis Zur, Jasline Deek, Sivan Louzoun Zada, Gil Nifker, Assaf Grunwald, Yuval Scher, Leonie Schütz, Elmar G. Weinhold, Yehudit Gnatek, Dorit Omer, Benjamin Dekel, Eitan Friedman, Yuval Ebenstein

The paper uses optical genome and epigenome mapping to identify somatic alterations in early-stage clear cell renal cell carcinoma, revealing both known and novel genomic and epigenomic changes.

NAR Cancer · Jan 15, 2025Peer-reviewedGenomics

Long-Read Structural and Epigenetic Profiling of a Kidney Tumor-Matched Sample with Nanopore Sequencing and Optical Genome Mapping

Sapir Margalit, Zuzana Tulpová, Tahir Detinis Zur, Yael Michaeli, Jasline Deek, Gil Nifker, Rita Haldar, Yehudit Gnatek, Dorit Omer, Benjamin Dekel, Hagit Baris Feldman, Assaf Grunwald, Yuval Ebenstein

The paper compares optical genome mapping and nanopore sequencing for structural and epigenetic analysis of a kidney tumor, highlighting their strengths in variant detection and epigenetic profiling.

NAR Genomics and Bioinformatics · Jan 7, 2025Peer-reviewedGenomics

OM2Seq: Learning retrieval embeddings for optical genome mapping

Yevgeni Nogin, D Sapir, Tahir Detinis Zur, Nir Weinberger, Yonatan Belinkov, Yuval Ebenstein, Yoav Shechtman

OM2Seq improves OGM data analysis by using a Transformer-encoder to rapidly and accurately map DNA fragments to a reference genome, outperforming existing methods in speed and accuracy.

Bioinformatics Advances · Jan 1, 2024Peer-reviewedBioinformatics

Design of optimal labeling patterns for optical genome mapping via information theory

Yevgeni Nogin, Daniella Bar-Lev, Dganit Hanania, Tahir Detinis Zur, Yuval Ebenstein, Eitan Yaakobi, Nir Weinberger, Yoav Shechtman

This paper develops an information theory-based model to design optimal labeling patterns for optical genome mapping, improving accuracy by up to 10-fold in human and bacterial DNA.

Bioinformatics · Sep 26, 2023Peer-reviewedBioinformatics

DeepOM: Single-molecule optical genome mapping via deep learning

Yevgeni Nogin, Tahir Detinis Zur, Sapir Margalit, Ilana Barzilai, Onit Alalouf, Yuval Ebenstein, Yoav Shechtman

DeepOM uses deep learning to improve alignment of single-molecule optical genome mapping images to genomic references, showing better performance for shorter DNA molecules.

Bioinformatics · Mar 1, 2023Peer-reviewedBioinformatics