Modeling chromosomes: Beyond pretty pictures

Recently, Chromosome Conformation Capture (3C) based experiments have highlighted the importance of computational models for the study of chromosome organization. In this review, we propose that current computational models can be grouped into roughly four classes, with two classes of data-driven mo...

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Main Authors: Imakaev, Maksim Viktorovich, Fudenberg, Geoffrey, Mirny, Leonid A
Other Authors: Institute for Medical Engineering and Science
Format: Article
Published: Elsevier 2017
Online Access:http://hdl.handle.net/1721.1/112798
https://orcid.org/0000-0002-5320-2728
https://orcid.org/0000-0001-5905-6517
https://orcid.org/0000-0002-0785-5410
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author Imakaev, Maksim Viktorovich
Fudenberg, Geoffrey
Mirny, Leonid A
author2 Institute for Medical Engineering and Science
author_facet Institute for Medical Engineering and Science
Imakaev, Maksim Viktorovich
Fudenberg, Geoffrey
Mirny, Leonid A
author_sort Imakaev, Maksim Viktorovich
collection MIT
description Recently, Chromosome Conformation Capture (3C) based experiments have highlighted the importance of computational models for the study of chromosome organization. In this review, we propose that current computational models can be grouped into roughly four classes, with two classes of data-driven models: consensus structures and data-driven ensembles, and two classes of de novo models: structural ensembles and mechanistic ensembles. Finally, we highlight specific questions mechanistic ensembles can address.
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spelling mit-1721.1/1127982022-10-01T02:27:24Z Modeling chromosomes: Beyond pretty pictures Imakaev, Maksim Viktorovich Fudenberg, Geoffrey Mirny, Leonid A Institute for Medical Engineering and Science Massachusetts Institute of Technology. Department of Physics Imakaev, Maksim Viktorovich Fudenberg, Geoffrey Mirny, Leonid A Recently, Chromosome Conformation Capture (3C) based experiments have highlighted the importance of computational models for the study of chromosome organization. In this review, we propose that current computational models can be grouped into roughly four classes, with two classes of data-driven models: consensus structures and data-driven ensembles, and two classes of de novo models: structural ensembles and mechanistic ensembles. Finally, we highlight specific questions mechanistic ensembles can address. National Institutes of Health (U.S.) (Grant R01HG003143) National Institutes of Health (U.S.) (Grant R01 GM114190) 2017-12-19T14:38:30Z 2017-12-19T14:38:30Z 2015-09 2015-09 2017-12-18T20:46:11Z Article http://purl.org/eprint/type/JournalArticle 0014-5793 1873-3468 http://hdl.handle.net/1721.1/112798 Imakaev, Maxim V. et al. “Modeling Chromosomes: Beyond Pretty Pictures.” FEBS Letters 589, 20 (September 2015): 3031–3036 © 2015 Federation of European Biochemical Societies https://orcid.org/0000-0002-5320-2728 https://orcid.org/0000-0001-5905-6517 https://orcid.org/0000-0002-0785-5410 http://dx.doi.org/10.1016/J.FEBSLET.2015.09.004 FEBS Letters Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Elsevier PMC
spellingShingle Imakaev, Maksim Viktorovich
Fudenberg, Geoffrey
Mirny, Leonid A
Modeling chromosomes: Beyond pretty pictures
title Modeling chromosomes: Beyond pretty pictures
title_full Modeling chromosomes: Beyond pretty pictures
title_fullStr Modeling chromosomes: Beyond pretty pictures
title_full_unstemmed Modeling chromosomes: Beyond pretty pictures
title_short Modeling chromosomes: Beyond pretty pictures
title_sort modeling chromosomes beyond pretty pictures
url http://hdl.handle.net/1721.1/112798
https://orcid.org/0000-0002-5320-2728
https://orcid.org/0000-0001-5905-6517
https://orcid.org/0000-0002-0785-5410
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