Journal article
Mahmoud Ahmed, Huynh Nguyen, Trang Lai, Deok Ryong Kim
BMC Research Notes, vol. 11(1), 2018 Jan 7, pp. 103-103
BMC Research Notes, vol. 11(1), 2018 Jan 7, pp. 103-103
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APA
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Ahmed, M., Nguyen, H., Lai, T., & Kim, D. R. (2018). miRCancerdb: a database for correlation analysis between microRNA and gene expression in cancer. BMC Research Notes, 11(1), 103–103. https://doi.org/10.1186/s13104-018-3160-9
Chicago/Turabian
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Ahmed, Mahmoud, Huynh Nguyen, Trang Lai, and Deok Ryong Kim. “MiRCancerdb: a Database for Correlation Analysis between MicroRNA and Gene Expression in Cancer.” BMC Research Notes 11, no. 1 (January 7, 2018): 103–103.
MLA
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Ahmed, Mahmoud, et al. “MiRCancerdb: a Database for Correlation Analysis between MicroRNA and Gene Expression in Cancer.” BMC Research Notes, vol. 11, no. 1, Jan. 2018, pp. 103–03, doi:10.1186/s13104-018-3160-9.
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@article{mahmoud2018a,
title = {miRCancerdb: a database for correlation analysis between microRNA and gene expression in cancer.},
year = {2018},
month = jan,
day = {7},
issue = {1},
journal = {BMC Research Notes},
pages = {103-103},
volume = {11},
doi = {10.1186/s13104-018-3160-9},
author = {Ahmed, Mahmoud and Nguyen, Huynh and Lai, Trang and Kim, Deok Ryong},
month_numeric = {1}
}
Abstract
Objectives: microRNAs regulate expression of target genes by specifically binding to their transcripts, subsequently leading to translational inhibition or mRNA degradation. Gene regulation by microRNAs has been implicated in a wide range of physiological and pathological conditions. Here, we leverage the use of public-access data and the available genomic annotations to pre-calculate the correlation of the expression of a large number of microRNAs with gene at the mRNA and protein level in the context of cancers.
Results: Expression data of miRNAs, mRNAs and proteins in cancer patients from The Cancer Genome Atlas along with TargetScan miRNAs-target annotations were used to calculate the expression correlations between miRNAs and features (mRNAs/proteins) in a number of cancer studies. We then packed the output of this analysis into a database and made it available through an interactive web application. The miRCancerdb is an easy-to-use database to investigate the microRNAs-dependent regulation of target genes involved in development of cancer.