Introduction
MicroRNAs (miRNAs) are one class of important small non-coding RNA molecules and play critical roles in health and disease. It was reported that miRNAs can be clustered as functional sets, miRNAs with similar functions are often associated with similar diseases. It is important to quantify the functional relations among miRNAs and then build miRNA functional networks. Analyzing the functional similarity of miRNAs can help to understand the roles of miRNAs in many complex diseases such as cancer, cardiovascular and so on.
MISIM v2.0 is the updated web server of our previously published human microRNA functional similarity and functional network tool, MISIM (miRNA similarity http://www.cuilab.cn) in 2010. MISIM v2.0 is open-accessed and impoves the original MISIM algorithm by implementing both positive and negetive miRNA-disease associations. MISIM v2.0 is based on miRNA-disease data from the HMDD v3.0 database and the miRNA-disease data was curated using miRBase(Release 22.1). Currently, MISIM v2.0 contains 14250 miRNA-disease associations, including 1044 miRNAs and 613 diseases, and 547 miRNA sets from TAM 2.0.
MISIM v2.0 can offer the miRNA functional similarity in more details (e.g. stratifying by up and down-miRNAs) , higher quality and more accurate enrichment analysis to users. Moreover, MISIM v2.0 also can predict the novel association diseases for the interested miRNAs Finally, MSISM 2.0 is equipped with graphical visualization functions which make the server more user-friendly than previous version.
Quick start tutorial
- How to calculate the miRNA functional similarities in the interested miRNA set?
You can choose ALL vs ALL Similarity menu. [details and demo animation] - How to calculate one interested miRNA functional similarities with the other miRNAs in MISIM v2.0?
You can choose One vs ALL Similarity menu. [details and demo animation] - How to compare the disease association between the two input miRNAs and infer the novel miRNA-disease related them respectively?
You can choose miRNA-Disease Association menu. [details and demo animation] - How to predict the novel miRNA-disease association of one miRNA input by user?
You can choose miRNA-Disease Association for all menu. [details and demo animation]
Links
Groups
- Dr. Jianwei Li
Institute of Computational Medicine, School of Artificial Intelligence, Hebei University of Technology, Tianjin, China
Email: lijianwei@hebut.edu.cn - Dr. Yuan Zhou
Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing, China
Email: soontide6825@163.com - Dr. Qinghua Cui
Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing, China
Email:cuiqinghua@hsc.pku.edu.cn