T
Tom Sexton
Researcher at University of Strasbourg
Publications - 46
Citations - 4856
Tom Sexton is an academic researcher from University of Strasbourg. The author has contributed to research in topics: Chromatin & Chromosome conformation capture. The author has an hindex of 17, co-authored 37 publications receiving 4264 citations. Previous affiliations of Tom Sexton include French Institute of Health and Medical Research & Centre national de la recherche scientifique.
Papers
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Book ChapterDOI
Detecting Spatial Chromatin Organization by Chromosome Conformation Capture II: Genome-Wide Profiling by Hi-C.
TL;DR: Two alternative methods for Hi-C are described, depending on the size of the genome, and the major computational approaches to convert the raw sequencing data into meaningful models of how genomes are organized are discussed.
Posted ContentDOI
Context-dependent transcriptional remodeling of TADs during differentiation
Sanjay Chahar,Yousra Ben Zouari,H. Salari,Anne Molitor,Dominique Kobi,Manon Maroquenne,Cathie Erb,Audrey Mossler,Nezih Karasu,Daniel Jost,Tom Sexton +10 more
TL;DR: The ectopic induction of one gene was sufficient to recapitulate microdomain formation in embryonic stem cells, providing strong evidence that transcription can directly remodel chromatin structure and suggesting that transcriptional processes drive complex, but non-universal, chromosome folding patterns that can be important in certain genomic contexts.
Book ChapterDOI
Sailing the Hi-C’s: Benefits and Remaining Challenges in Mapping Chromatin Interactions
TL;DR: Chromatin conformation capture (3C) as discussed by the authors is a molecular biology method allowing the detection of pairwise chromatin interactions, which has been used to identify various topological features which correlate well with underlying genome functions.
Posted ContentDOI
ChiCMaxima: a robust and simple pipeline for detection and visualization of chromatin looping in Capture Hi-C
TL;DR: A new approach is described, ChiCMaxima, which uses local maxima combined with a background model to detect DNA looping interactions, integrating information from biological replicates, and shows more stringency and robustness compared to previously developed tools.
Journal ArticleDOI
Precise measurements of chromatin diffusion dynamics by modeling using Gaussian processes
Guilherme M. Oliveira,Attila Oravecz,Dominique Kobi,Manon Maroquenne,Kerstin Bystricky,Tom Sexton,Nacho Molina +6 more
TL;DR: The GP-FBM as discussed by the authors is a computational framework based on Gaussian processes and fractional Brownian motion to extract diffusion properties from stochastic trajectories of labeled chromatin loci.