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Raphaël Mourad

Researcher at University of Toulouse

Publications -  45
Citations -  752

Raphaël Mourad is an academic researcher from University of Toulouse. The author has contributed to research in topics: Chromatin & Graphical model. The author has an hindex of 13, co-authored 38 publications receiving 549 citations. Previous affiliations of Raphaël Mourad include Centre national de la recherche scientifique & Indiana University.

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Loop extrusion as a mechanism for formation of DNA damage repair foci

TL;DR: In this article, the authors show that topologically associating domains are functional units of the DNA damage response, and are instrumental for the correct establishment of γH2AX-53BP1 chromatin domains in a manner that involves one-sided cohesin-mediated loop extrusion on both sides of the DSB.
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A survey on latent tree models and applications

TL;DR: This review of the latent tree model, a particular type of probabilistic graphical models, deserves attention because its simple structure allows simple and efficient inference, while its latent variables capture complex relationships.
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A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies

TL;DR: An accurate modeling of dependences between genetic markers is presented, based on a forest of hierarchical latent class models which is a particular class of probabilistic graphical models which offers an adapted framework to deal with the fuzzy nature of linkage disequilibrium blocks.

Estrogen induces global reorganization of chromatin structure in human breast cancer cells

TL;DR: The role of a hormone - estrogen - on genome organization, and its effect on gene regulation in cancer, is revealed through genome-wide mapping of chromatin interactions (Hi-C) over the time after estrogen stimulation of breast cancer cells.
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Estrogen Induces Global Reorganization of Chromatin Structure in Human Breast Cancer Cells

TL;DR: In this paper, the authors performed genome-wide mapping of chromatin interactions (Hi-C) over the time after estrogen stimulation of breast cancer cells, and found that gene-rich chromosomes as well as areas of open and highly transcribed chromatins are rearranged to greater spatial proximity, thus enabling genes to share transcriptional machinery and regulatory elements.