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GSDB: a database of 3D chromosome and genome structures reconstructed from Hi-C data

Advances in the study of chromosome conformation capture technologies, such as Hi-C technique - capable of capturing chromosomal interactions in a genome-wide scale - have led to the development of three-dimensional chromosome and genome structure reconstruction methods from Hi-C data. The three dim...

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Autores principales: Oluwadare, Oluwatosin, Highsmith, Max, Turner, Douglass, Lieberman-Aiden, Erez, Cheng, Jianlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405446/
https://www.ncbi.nlm.nih.gov/pubmed/32758136
http://dx.doi.org/10.1186/s12860-020-00304-y
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author Oluwadare, Oluwatosin
Highsmith, Max
Turner, Douglass
Lieberman-Aiden, Erez
Cheng, Jianlin
author_facet Oluwadare, Oluwatosin
Highsmith, Max
Turner, Douglass
Lieberman-Aiden, Erez
Cheng, Jianlin
author_sort Oluwadare, Oluwatosin
collection PubMed
description Advances in the study of chromosome conformation capture technologies, such as Hi-C technique - capable of capturing chromosomal interactions in a genome-wide scale - have led to the development of three-dimensional chromosome and genome structure reconstruction methods from Hi-C data. The three dimensional genome structure is important because it plays a role in a variety of important biological activities such as DNA replication, gene regulation, genome interaction, and gene expression. In recent years, numerous Hi-C datasets have been generated, and likewise, a number of genome structure construction algorithms have been developed. In this work, we outline the construction of a novel Genome Structure Database (GSDB) to create a comprehensive repository that contains 3D structures for Hi-C datasets constructed by a variety of 3D structure reconstruction tools. The GSDB contains over 50,000 structures from 12 state-of-the-art Hi-C data structure prediction algorithms for 32 Hi-C datasets. GSDB functions as a centralized collection of genome structures which will enable the exploration of the dynamic architectures of chromosomes and genomes for biomedical research. GSDB is accessible at http://sysbio.rnet.missouri.edu/3dgenome/GSDB
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spelling pubmed-74054462020-08-07 GSDB: a database of 3D chromosome and genome structures reconstructed from Hi-C data Oluwadare, Oluwatosin Highsmith, Max Turner, Douglass Lieberman-Aiden, Erez Cheng, Jianlin BMC Mol Cell Biol Database Advances in the study of chromosome conformation capture technologies, such as Hi-C technique - capable of capturing chromosomal interactions in a genome-wide scale - have led to the development of three-dimensional chromosome and genome structure reconstruction methods from Hi-C data. The three dimensional genome structure is important because it plays a role in a variety of important biological activities such as DNA replication, gene regulation, genome interaction, and gene expression. In recent years, numerous Hi-C datasets have been generated, and likewise, a number of genome structure construction algorithms have been developed. In this work, we outline the construction of a novel Genome Structure Database (GSDB) to create a comprehensive repository that contains 3D structures for Hi-C datasets constructed by a variety of 3D structure reconstruction tools. The GSDB contains over 50,000 structures from 12 state-of-the-art Hi-C data structure prediction algorithms for 32 Hi-C datasets. GSDB functions as a centralized collection of genome structures which will enable the exploration of the dynamic architectures of chromosomes and genomes for biomedical research. GSDB is accessible at http://sysbio.rnet.missouri.edu/3dgenome/GSDB BioMed Central 2020-08-05 /pmc/articles/PMC7405446/ /pubmed/32758136 http://dx.doi.org/10.1186/s12860-020-00304-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Database
Oluwadare, Oluwatosin
Highsmith, Max
Turner, Douglass
Lieberman-Aiden, Erez
Cheng, Jianlin
GSDB: a database of 3D chromosome and genome structures reconstructed from Hi-C data
title GSDB: a database of 3D chromosome and genome structures reconstructed from Hi-C data
title_full GSDB: a database of 3D chromosome and genome structures reconstructed from Hi-C data
title_fullStr GSDB: a database of 3D chromosome and genome structures reconstructed from Hi-C data
title_full_unstemmed GSDB: a database of 3D chromosome and genome structures reconstructed from Hi-C data
title_short GSDB: a database of 3D chromosome and genome structures reconstructed from Hi-C data
title_sort gsdb: a database of 3d chromosome and genome structures reconstructed from hi-c data
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405446/
https://www.ncbi.nlm.nih.gov/pubmed/32758136
http://dx.doi.org/10.1186/s12860-020-00304-y
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