Literature DB >> 33021634

The Nucleome Data Bank: web-based resources to simulate and analyze the three-dimensional genome.

Vinícius G Contessoto1,2,3, Ryan R Cheng1, Arya Hajitaheri1,4, Esteban Dodero-Rojas1,5, Matheus F Mello1,6, Erez Lieberman-Aiden1,7, Peter G Wolynes1,8,9,10, Michele Di Pierro1,11, José N Onuchic1,8,9,10.   

Abstract

We introduce the Nucleome Data Bank (NDB), a web-based platform to simulate and analyze the three-dimensional (3D) organization of genomes. The NDB enables physics-based simulation of chromosomal structural dynamics through the MEGABASE + MiChroM computational pipeline. The input of the pipeline consists of epigenetic information sourced from the Encode database; the output consists of the trajectories of chromosomal motions that accurately predict Hi-C and fluorescence insitu hybridization data, as well as multiple observations of chromosomal dynamics in vivo. As an intermediate step, users can also generate chromosomal sub-compartment annotations directly from the same epigenetic input, without the use of any DNA-DNA proximity ligation data. Additionally, the NDB freely hosts both experimental and computational structural genomics data. Besides being able to perform their own genome simulations and download the hosted data, users can also analyze and visualize the same data through custom-designed web-based tools. In particular, the one-dimensional genetic and epigenetic data can be overlaid onto accurate 3D structures of chromosomes, to study the spatial distribution of genetic and epigenetic features. The NDB aims to be a shared resource to biologists, biophysicists and all genome scientists. The NDB is available at https://ndb.rice.edu.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2021        PMID: 33021634     DOI: 10.1093/nar/gkaa818

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  7 in total

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Review 5.  A Liquid State Perspective on Dynamics of Chromatin Compartments.

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Journal:  Front Mol Biosci       Date:  2022-01-13

6.  Exploring chromosomal structural heterogeneity across multiple cell lines.

Authors:  Ryan R Cheng; Vinicius G Contessoto; Erez Lieberman Aiden; Peter G Wolynes; Michele Di Pierro; Jose N Onuchic
Journal:  Elife       Date:  2020-10-13       Impact factor: 8.140

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  7 in total

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