التفاصيل البيبلوغرافية
| العنوان: |
Prediction of both conserved and nonconserved microRNA targets in animals. |
| المؤلفون: |
Xiaowei Wang, Issam M. El Naqa |
| المصدر: |
Bioinformatics; Feb2008, Vol. 24 Issue 3, p325-325, 1p |
| مصطلحات موضوعية: |
BIOINFORMATICS, COMPUTERS in biology, GENETIC engineering, GENE targeting |
| مستخلص: |
Motivation: MicroRNAs (miRNAs) are involved in many diverse biological processes and they may potentially regulate the functions of thousands of genes. However, one major issue in miRNA studies is the lack of bioinformatics programs to accurately predict miRNA targets. Animal miRNAs have limited sequence complementarity to their gene targets, which makes it challenging to build target prediction models with high specificity. Results: Here we present a new miRNA target prediction program based on support vector machines (SVMs) and a large microarray training dataset. By systematically analyzing public microarray data, we have identified statistically significant features that are important to target downregulation. Heterogeneous prediction features have been non-linearly integrated in an SVM machine learning framework for the training of our target prediction model, MirTarget2. About half of the predicted miRNA target sites in human are not conserved in other organisms. Our prediction algorithm has been validated with independent experimental data for its improved performance on predicting a large number of miRNA down-regulated gene targets. Availability: All the predicted targets were imported into an online database miRDB, which is freely accessible at http://mirdb.org. Contact: xwang@radonc.wustl.edu Supplementary information: Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR] |
|
Copyright of Bioinformatics is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
