Author

Ofir Shukron

École Normale Supérieure - PSL

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 2 Biophysics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:Hi-C· 3 Research Focus:gene regulatory network inference· 2 Research Focus:chromatin & epigenetic regulation· 1 Assay:DNA methylation· 1 Organism:human· 1 Research Focus:spatial domain detection· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

David HolcmaniD· 4 shared Andrew SeeberiD· 2 shared Assaf AmitaiiD· 2 shared Daan NoordermeeriD· 1 shared Vincent PirasiD· 1 shared

Activity by Year

2016-2019 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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4 shared papersGenomics

David HolcmanORCID

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4 papers

Recent·Most cited

Statistics of chromatin organization during cell differentiation revealed by heterogeneous cross-linked polymers

Ofir Shukron, Vincent Piras, Daan Noordermeer, David Holcman

The paper develops a polymer model to analyze chromatin organization changes during differentiation, finding synchronous compaction/decompaction of TADs and secondary structures in 5C data.

Nature Communications · Jun 14, 2019Peer-reviewedGenomics

Single particle trajectory statistic to reconstruct chromatin organization and dynamics

Ofir Shukron, Andrew Seeber, Assaf Amitai, David Holcman

The paper discusses statistical methods to reconstruct chromatin organization and dynamics from single particle trajectories of loci under cellular stress.

bioRxiv · Mar 4, 2019 · PreprintGenomics

Local decondensation at double-stranded DNA breaks modifies chromatin at long distances and reduces encounter times during homology search

Assaf Amitai, Ofir Shukron, Andrew Seeber, David Holcman

The paper shows that local chromatin decondensation at DNA breaks reduces encounter times for homologous sequences during repair.

bioRxiv · Dec 31, 2018 · PreprintGenetics

Structure of Topologically Associating Domains and gene regulation embedded in the 5C data revealed by a polymer model and stochastic simulations

Ofir Shukron, David Holcman

The paper uses a polymer model and stochastic simulations to analyze 5C data and reveal how TAD structure influences gene regulation through encounter probabilities and chromatin dynamics.

bioRxiv · Jul 21, 2016Biophysics