dbCID Edit

Citations: 0

z-index: 0

Basic information
Short name dbCID
Full name Database of Cancer driver InDels
Description a highly curated database of driver indels (insertions and deletions) that are likely to engage in cancer development, progression, or therapy.
URL http://bioinfo.ahu.edu.cn:8080/dbCID
Year founded 2018
Last update & version
Accessibility Accessible
Contact information

The contact information is provided to facilitate update of database information, and it is curated based on the contact details in the database or the related publications. To ensure effective contact with database constructors, we give priority to the contact details in the database.

University/Institution Anhui University
Address Institute of Health Sciences, Anhui University, 111 Jiulong Avenue, Hefei 230601, China
City Hefei
Province/State Anhui
Country/Region China
Contact name (PI/Team) Junfeng Xia
Contact email (PI/Helpdesk) jfxia@ahu.edu.cn
Data information
Data object
Data type
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Major organism
  • dbCID: a manually curated resource for exploring the driver indels in human cancer. [PMID: 30016397]
    Zhenyu Yue, Le Zhao, Na Cheng, Hua Yan, Junfeng Xia

    While recent advances in next-generation sequencing technologies have enabled the creation of a multitude of databases in cancer genomic research, there is no comprehensive database focusing on the annotation of driver indels (insertions and deletions) yet. Therefore, we have developed the database of Cancer driver InDels (dbCID), which is a collection of known coding indels that likely to be engaged in cancer development, progression or therapy. dbCID contains experimentally supported and putative driver indels derived from manual curation of literature and is freely available online at http://bioinfo.ahu.edu.cn: 8080/dbCID. Using the data deposited in dbCID, we summarized features of driver indels in four levels (gene, DNA, transcript and protein) through comparing with putative neutral indels. We found that most of the genes containing driver indels in dbCID are known cancer genes playing a role in tumorigenesis. Contrary to the expectation, the sequences affected by driver frameshift indels are not larger than those by neutral ones. In addition, the frameshift and inframe driver indels prefer to disrupt high-conservative regions both in DNA sequences and protein domains. Finally, we developed a computational method for discriminating cancer driver from neutral frameshift indels based on the deposited data in dbCID. The proposed method outperformed other widely used non-cancer-specific predictors on an external test set, which demonstrated the usefulness of the data deposited in dbCID. We hope dbCID will be a benchmark for improving and evaluating prediction algorithms, and the characteristics summarized here may assist with investigating the mechanism of indel-cancer association.

    Brief Bioinform 2018:()

    0 Citations (from Europe PMC, 2019-06-08)


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  • Created on: 2019-01-10
    • ***d@***c.cn [2019-01-10]
    • ***d@***c.cn [2019-01-10]

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