| Literature DB >> 29028907 |
Nathan W Wong1,2, Yuhao Chen2,3, Shuai Chen2, Xiaowei Wang1,2.
Abstract
Summary: Dysregulation of microRNAs (miRNAs) is extensively associated with cancer development and progression. miRNAs have been shown to be biomarkers for predicting tumor formation and outcome. However, identification of the relationships between miRNA expression and tumor characteristics can be difficult and time-consuming without appropriate bioinformatics expertise. To address this issue, we present OncomiR, an online resource for exploring miRNA dysregulation in cancer. Using combined miRNA-seq, RNA-seq and clinical data from The Cancer Genome Atlas, we systematically performed statistical analyses to identify dysregulated miRNAs that are associated with tumor development and progression in most major cancer types. Additional analyses further identified potential miRNA-gene target interactions in tumors. These results are stored in a backend database and presented through a web server interface. Moreover, through a backend bioinformatics pipeline, OncomiR can also perform dynamic analysis with custom miRNA selections for in-depth characterization of miRNAs in cancer. Availability and implementation: The OncomiR website is freely accessible at www.oncomir.org. Contact: xiaowei.wang@wustl.edu. Supplementary information: Supplementary data are available at Bioinformatics online.Entities:
Mesh：
Substances：
Year: 2018 PMID： 29028907 PMCID： PMC5860608 DOI： 10.1093/bioinformatics/btx627
Source DB: PubMed Journal: Bioinformatics ISSN： 1367-4803 Impact factor: 6.937