PPUS: a web server to predict PUS-specific pseudouridine sites
- PMID: 26076723
- DOI: 10.1093/bioinformatics/btv366
PPUS: a web server to predict PUS-specific pseudouridine sites
Abstract
Motivation: Pseudouridine (Ψ), catalyzed by pseudouridine synthase (PUS), is the most abundant RNA modification and has important cellular functions. Developing an algorithm to identify Ψ sites is an important work. And it is better if the algorithm could assign which PUS modifies the Ψ sites. Here, we developed PPUS (http://lyh.pkmu.cn/ppus/), the first web server to predict PUS-specific Ψ sites. PPUS: employed support vector machine as the classifier and used nucleotides around Ψ sites as the features. Currently, PPUS: could accurately predict new Ψ sites for PUS1, PUS4 and PUS7 in yeast and PUS4 in human. PPUS: is well designed and friendly to user.
Availability and implementation: Our web server is available freely for non-commercial purposes at: http://lyh.pkmu.cn/ppus/
Contact: liyanhui@bjmu.edu.cn or cuiqinghua@hsc.pku.edu.cn.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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