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

Bioinformatics. 2020 Mar 1;36(5):1649-1651. doi: 10.1093/bioinformatics/btz770.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Chromatin Immunoprecipitation Sequencing
  • Enhancer Elements, Genetic*
  • Genome-Wide Association Study*
  • Genomics
  • Humans
  • Mice
  • Protein Binding