Literature DB >> 25240436

3D genome reconstruction from chromosomal contacts.

Annick Lesne1, Julien Riposo2, Paul Roger2, Axel Cournac3, Julien Mozziconacci2.   

Abstract

A computational challenge raised by chromosome conformation capture (3C) experiments is to reconstruct spatial distances and three-dimensional genome structures from observed contacts between genomic loci. We propose a two-step algorithm, ShRec3D, and assess its accuracy using both in silico data and human genome-wide 3C (Hi-C) data. This algorithm avoids convergence issues, accommodates sparse and noisy contact maps, and is orders of magnitude faster than existing methods.

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Mesh:

Year:  2014        PMID: 25240436     DOI: 10.1038/nmeth.3104

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  21 in total

1.  Noise can speed convergence in Markov chains.

Authors:  Brandon Franzke; Bart Kosko
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-10-10

Review 2.  Genome structure determination via 3C-based data integration by the Integrative Modeling Platform.

Authors:  Davide Baù; Marc A Marti-Renom
Journal:  Methods       Date:  2012-04-13       Impact factor: 3.608

3.  A three-dimensional model of the yeast genome.

Authors:  Zhijun Duan; Mirela Andronescu; Kevin Schutz; Sean McIlwain; Yoo Jung Kim; Choli Lee; Jay Shendure; Stanley Fields; C Anthony Blau; William S Noble
Journal:  Nature       Date:  2010-05-02       Impact factor: 49.962

Review 4.  Bridging the resolution gap in structural modeling of 3D genome organization.

Authors:  Marc A Marti-Renom; Leonid A Mirny
Journal:  PLoS Comput Biol       Date:  2011-07-14       Impact factor: 4.475

5.  Three-dimensional modeling of chromatin structure from interaction frequency data using Markov chain Monte Carlo sampling.

Authors:  Mathieu Rousseau; James Fraser; Maria A Ferraiuolo; Josée Dostie; Mathieu Blanchette
Journal:  BMC Bioinformatics       Date:  2011-10-25       Impact factor: 3.169

6.  Topological domains in mammalian genomes identified by analysis of chromatin interactions.

Authors:  Jesse R Dixon; Siddarth Selvaraj; Feng Yue; Audrey Kim; Yan Li; Yin Shen; Ming Hu; Jun S Liu; Bing Ren
Journal:  Nature       Date:  2012-04-11       Impact factor: 49.962

7.  Species-level deconvolution of metagenome assemblies with Hi-C-based contact probability maps.

Authors:  Joshua N Burton; Ivan Liachko; Maitreya J Dunham; Jay Shendure
Journal:  G3 (Bethesda)       Date:  2014-05-22       Impact factor: 3.154

8.  Chromatin conformation signatures of cellular differentiation.

Authors:  James Fraser; Mathieu Rousseau; Solomon Shenker; Maria A Ferraiuolo; Yoshihide Hayashizaki; Mathieu Blanchette; Josée Dostie
Journal:  Genome Biol       Date:  2009-04-19       Impact factor: 13.583

9.  Single-cell Hi-C reveals cell-to-cell variability in chromosome structure.

Authors:  Takashi Nagano; Yaniv Lubling; Tim J Stevens; Stefan Schoenfelder; Eitan Yaffe; Wendy Dean; Ernest D Laue; Amos Tanay; Peter Fraser
Journal:  Nature       Date:  2013-09-25       Impact factor: 49.962

10.  A statistical approach for inferring the 3D structure of the genome.

Authors:  Nelle Varoquaux; Ferhat Ay; William Stafford Noble; Jean-Philippe Vert
Journal:  Bioinformatics       Date:  2014-06-15       Impact factor: 6.937

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  98 in total

1.  Chromosome position determines the success of double-strand break repair.

Authors:  Cheng-Sheng Lee; Ruoxi W Wang; Hsiao-Han Chang; Daniel Capurso; Mark R Segal; James E Haber
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-29       Impact factor: 11.205

2.  Computational methods for predicting 3D genomic organization from high-resolution chromosome conformation capture data.

Authors:  Kimberly MacKay; Anthony Kusalik
Journal:  Brief Funct Genomics       Date:  2020-07-29       Impact factor: 4.241

3.  Producing genome structure populations with the dynamic and automated PGS software.

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Journal:  Nat Protoc       Date:  2018-04-05       Impact factor: 13.491

4.  Reconstructing spatial organizations of chromosomes through manifold learning.

Authors:  Guangxiang Zhu; Wenxuan Deng; Hailin Hu; Rui Ma; Sai Zhang; Jinglin Yang; Jian Peng; Tommy Kaplan; Jianyang Zeng
Journal:  Nucleic Acids Res       Date:  2018-05-04       Impact factor: 16.971

Review 5.  Models of polymer physics for the architecture of the cell nucleus.

Authors:  Andrea Esposito; Carlo Annunziatella; Simona Bianco; Andrea M Chiariello; Luca Fiorillo; Mario Nicodemi
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2018-12-19

Review 6.  Understanding 3D genome organization by multidisciplinary methods.

Authors:  Ivana Jerkovic; Giacomo Cavalli
Journal:  Nat Rev Mol Cell Biol       Date:  2021-05-05       Impact factor: 94.444

Review 7.  Dynamic chromatin technologies: from individual molecules to epigenomic regulation in cells.

Authors:  Olivier Cuvier; Beat Fierz
Journal:  Nat Rev Genet       Date:  2017-05-22       Impact factor: 53.242

8.  Inferring Spatial Organization of Individual Topologically Associated Domains via Piecewise Helical Model.

Authors:  Rongrong Zhang; Ming Hu; Yu Zhu; Zhaohui Qin; Ke Deng; Jun S Liu
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2018-08-15       Impact factor: 3.710

9.  3D genome structure modeling by Lorentzian objective function.

Authors:  Tuan Trieu; Jianlin Cheng
Journal:  Nucleic Acids Res       Date:  2017-02-17       Impact factor: 16.971

Review 10.  The three-dimensional organization of the genome in cellular senescence and age-associated diseases.

Authors:  Shane A Evans; Jeremy Horrell; Nicola Neretti
Journal:  Semin Cell Dev Biol       Date:  2018-07-27       Impact factor: 7.727

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