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ABSTRACT: Summary
Cancer hallmarks rely on its specific transcriptional programs, which are dysregulated by multiple mechanisms, including genomic aberrations in the DNA regulatory regions. Genome-wide association studies have shown many variants are found within putative enhancer elements. To provide insights into the regulatory role of enhancer-associated non-coding variants in cancer epigenome, and to facilitate the identification of functional non-coding mutations, we present dbInDel, a database where we have comprehensively analyzed enhancer-associated insertion and deletion variants for both human and murine samples using ChIP-Seq data. Moreover, we provide the identification and visualization of upstream TF binding motifs in InDel-containing enhancers. Downstream target genes are also predicted and analyzed in the context of cancer biology. The dbInDel database promotes the investigation of functional contributions of non-coding variants in cancer epigenome.Availability and implementation
The database, dbInDel, can be accessed from http://enhancer-indel.cam-su.org/.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Huang M
PROVIDER: S-EPMC7703781 | biostudies-literature | 2020 Mar
REPOSITORIES: biostudies-literature

Huang Moli M Wang Yunpeng Y Yang Manqiu M Yan Jun J Yang Henry H Zhuang Wenzhuo W Xu Ying Y Koeffler H Phillip HP Lin De-Chen DC Chen Xi X
Bioinformatics (Oxford, England) 20200301 5
<h4>Summary</h4>Cancer hallmarks rely on its specific transcriptional programs, which are dysregulated by multiple mechanisms, including genomic aberrations in the DNA regulatory regions. Genome-wide association studies have shown many variants are found within putative enhancer elements. To provide insights into the regulatory role of enhancer-associated non-coding variants in cancer epigenome, and to facilitate the identification of functional non-coding mutations, we present dbInDel, a databa ...[more]