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

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 provid...

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Veröffentlicht in:Bioinformatics 2020-03, Vol.36 (5), p.1649-1651
Hauptverfasser: Huang, Moli, Wang, Yunpeng, Yang, Manqiu, Yan, Jun, Yang, Henry, Zhuang, Wenzhuo, Xu, Ying, Koeffler, H Phillip, Lin, De-Chen, Chen, Xi
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Sprache:eng
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Zusammenfassung: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.
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btz770