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

Oluwatosin Oluwadare, Max Highsmith, Douglass Turner, Erez Lieberman-Aiden, Jianlin Cheng

Research output: Contribution to journalArticlepeer-review

12 Citations (Web of Science)

Abstract

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.

Original languageEnglish
Article number60
JournalBMC Molecular and Cell Biology
Volume21
Issue number1
DOIs
Publication statusPublished - 5 Aug 2020
Externally publishedYes

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