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Can I read iMRM: a platform for simultaneously identifying multiple kinds of RNA modifications on EtoBox?
iMRM: a platform for simultaneously identifying multiple kinds of RNA modifications by Liu, Kewei; Chen, Wei; Mathelier, Anthony is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is iMRM: a platform for simultaneously identifying multiple kinds of RNA modifications about?
## Abstract ## Motivation RNA modifications play critical roles in a series of cellular and developmental processes. Knowledge about the distributions of RNA modifications in the transcriptomes will provide clues to revealing their functions. Since experimental methods are time consuming and laborious for detecting RNA modifications, computational methods have been proposed for this aim in the past five years. However, there are some drawbacks for both experimental and computational methods in simultaneously identifying modifications occurred on different nucleotides. ## Results To address such a challenge, in this article, we developed a new predictor called iMRM, which is able to simultaneously identify m6A, m5C, m1A, ψ and A-to-I modifications in Homo sapiens, Mus musculus and Saccharomyces cerevisiae. In iMRM, the feature selection technique was used to pick out the optimal features. The results from both 10-fold cross-validation and jackknife test demonstrated that the performance of iMRM is superior to existing methods for identifying RNA modifications. ## Availability and implementation A user-friendly web server for iMRM was established at http://www.bioml.cn/XG\_iRNA/home.
Who reads iMRM: a platform for simultaneously identifying multiple kinds of RNA modifications?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Liu, Kewei; Chen, Wei; Mathelier, Anthony
- Publisher
- Oxford University Press; Oxford University Press (OUP) (ISSN 1367-4803)
- Published
- 2020
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)