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conferenceseries.com
Volume 11 Journal of Proteomics & Bioinformatics Open Access Computational Biology 2018
September 05-06, 2018
September 05-06, 2018 Tokyo, Japan
International Conference on
Computational Biology and Bioinformatics
Chun-Yip Tong et al., J Proteomics Bioinform 2018, Volume 11
DOI: 10.4172/0974-276X-C1-113
CMEP: A database for circulating microRNA expression profiling
Chun-Yip Tong and Jian-Rong Li
National Chung Hsing University, Taiwan
In recent years, several experimental studies have revealed that the microRNAs (miRNAs) in serum, plasma, exosome and
whole blood are dysregulated in various types of diseases, indicating that the circulating miRNAs may serve potential non-
invasive biomarkers for disease diagnosis and prognosis. However, there is no database constructed to integrate the large-scale
circulating miRNAs profiles, explore the functional pathway they involved and predict the potential biomarkers using feature
selection between disease conditions. The Circulating MicroRNA Expression Profiling (CMEP) is a database for integrating,
analyzing and visualizing the large-scale expression profiles of phenotype-specific circulating miRNAs. Although there have
been several studies attempting to generate circulating miRNA database, they have not yet integrated the large-scale circulating
miRNAs profiles and provided the biomarker-selection function using machine learning methods. To fill in this gap, we
constructed the CMEP database for integrating, analyzing and visualizing the large-scale expression profiles of phenotype-
specific circulating miRNAs. The CMEP database contains massive datasets manually curated from NCBI GEO including 61
datasets, 192 subsets and 9,444 samples. The CMEP provides the differential expression circulating miRNAs analysis and the
KEGG functional pathway enrichment analysis. Furthermore, to provide the function of non-invasive biomarker discovery,
implementation of several feature-selection methods including ridge regression, lasso regression, support vector machine and
random forests. Finally, a user-friendly web interface was implemented to improve the user experience and visualize the data
and results of CMEP.
Biography
Chun-Yip Tong is currently a Master’s student at National Chung Hsing University, Institute of Genomic and Bioinformatics and currently researching on circulating
micro RNA non-invasiave diagnosis
Li Jian Rong is currently a postdoctoral fellow in the institute of Genomic and Bioinformatics, National Chung Hsing University, and current research topics are
RNA-Seq of Oncidium and circulating micro RNA for non-invasiave diagnosis.
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