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4DGenome: a comprehensive database of chromatin interactions

Authors: Li Teng; Bing He; Jiahui Wang; Kai Tan 0001;

4DGenome: a comprehensive database of chromatin interactions

Abstract

Abstract Motivation: The 3D structure of the genome plays a critical role in regulating gene expression. Recent progress in mapping technologies for chromatin interactions has led to a rapid increase in this kind of interaction data. This trend will continue as research in this burgeoning field intensifies. Results: We describe the 4DGenome database that stores chromatin interaction data compiled through comprehensive literature curation. The database currently covers both low- and high-throughput assays, including 3C, 4C-Seq, 5C, Hi-C, ChIA-PET and Capture-C. To complement the set of interactions detected by experimental assays, we also include interactions predicted by a recently developed computational method with demonstrated high accuracy. The database currently contains ∼8 million records, covering 102 cell/tissue types in five organisms. Records in the database are described using a standardized file format, facilitating data exchange. The vast major of the interactions were assigned a confidence score. Using the web interface, users can query and download database records via a number of annotation dimensions. Query results can be visualized along with other genomics datasets via links to the UCSC genome browser. We anticipate that 4DGenome will be a valuable resource for investigating the spatial structure-and-function relationship of genomes. Availability and Implementation: 4Dgenome is freely accessible at http://4dgenome.int-med.uiowa.edu. The database and web interface are implemented in MySQL, Apache and JavaScript with all major browsers supported. Contact: kai-tan@uiowa.edu Supplementary Information: Supplementary Materials are available at Bioinformatics online.

Related Organizations
Keywords

Databases, Factual, Gene Expression Regulation, Genome, Human, Computational Biology, Humans, Genomics, Chromatin

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
128
Top 1%
Top 10%
Top 1%
gold