dbInDel: a database of enhancer-associated insertion and deletion variants by analysis of H3K27ac ChIP-Seq.

Huang, Moli; Wang, Yunpeng; Yang, Manqiu; Yan, Jun; Yang, Henry; Zhuang, Wenzhuo; Xu, Ying; Koeffler, H Phillip et al. · Bioinformatics · 2020

basic_science · Level V

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Abstract

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. The database, dbInDel, can be accessed from http://enhancer-indel.cam-su.org/. Supplementary data are available at Bioinformatics online.

Medical subject headings