EnhancerAtlas: a resource for enhancer annotation and analysis in 105 human cell/tissue types. (10th August 2016)

• Record Type: Journal Article
• Authors: Gao, Tianshun; He, Bing; Liu, Sheng; Zhu, Heng; Tan, Kai; Qian, Jiang
• Is Part Of: Bioinformatics. Volume 32:Number 23(2016)
• Page Start: 3543
• Page End: 3551
• Publication Date: 2016-08-10
• Subjects: Bioinformatics -- Periodicals; Genomics -- Data processing -- Periodicals; Computational biology -- Periodicals; 572.80285
• DOI: 10.1093/bioinformatics/btw495
• Languages: English
• ISSNs: 1367-4803

Abstract

Abstract : Motivation: Multiple high-throughput approaches have recently been developed and allowed the discovery of enhancers on a genome scale in a single experiment. However, the datasets generated from these approaches are not fully utilized by the research community due to technical challenges such as lack of consensus enhancer annotation and integrative analytic tools. Results: We developed an interactive database, EnhancerAtlas, which contains an atlas of 2, 534, 123 enhancers for 105 cell/tissue types. A consensus enhancer annotation was obtained for each cell by summation of independent experimental datasets with the relative weights derived from a cross-validation approach. Moreover, EnhancerAtlas provides a set of useful analytic tools that allow users to query and compare enhancers in a particular genomic region or associated with a gene of interest, and assign enhancers and their target genes from a custom dataset. Availability and Implementation: The database with analytic tools is available at http://www.enhanceratlas.org/ . Contact: [e-mail] or [e-mail] Supplementary information: Supplementary data are available at Bioinformatics online.