BMC Molecular and Cell BiologyBioinformaticsPeer-reviewed journal article
GSDB: a database of 3D chromosome and genome structures reconstructed from Hi-C data
Oluwatosin OluwadareiD, Max R. Highsmith, Douglass Turner, Erez Lieberman AideniD, Jianlin Jack ChengiD
Abstract
Advances in the study of chromosome conformation capture (3C) technologies, such as Hi-C technique - capable of capturing chromosomal interactions in a genome-wide scale - have led to the development of three-dimensional (3D) chromosome and genome structure reconstruction methods from Hi-C data. The 3D 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. However, until now, there has been no freely available repository for 3D chromosome structures. 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. GSDB contains over 50,000 structures constructed by 12 state-of-the-art chromosome and genome structure prediction methods for publicly used Hi-C datasets with varying resolution. The database is useful for the community to study the function of genome from a 3D perspective. GSDB is accessible at http://sysbio.rnet.missouri.edu/3dgenome/GSDB
- assay: Hi-C
- research focus: database / resource
- approach: statistical model
- approach: experimental assay
- Citations
- 27
- FWCI
- 1.22
- Field percentile
- top 23%
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