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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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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 |
format | Online Article Text |
id | pubmed-7405446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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