iMRM
iMRM identifies five major RNA modifications—N6-methyladenosine (m6A), 5-methylcytosine (m5C), N1-methyladenosine (m1A), pseudouridine (ψ), and adenosine-to-inosine (A-to-I) editing—simultaneously across Homo sapiens, Mus musculus, and Saccharomyces cerevisiae for transcriptome-wide analysis.
Key Features:
- Simultaneous identification: Identifies m6A, m5C, m1A, pseudouridine (ψ), and A-to-I editing concurrently across Homo sapiens, Mus musculus, and Saccharomyces cerevisiae.
- Feature selection and evaluation: Employs feature selection to optimize prediction and was benchmarked using 10-fold cross-validation and jackknife tests, demonstrating improved performance over existing methods.
Scientific Applications:
- Transcriptome profiling of RNA modifications: Enables analysis of the distribution of m6A, m5C, m1A, ψ, and A-to-I modifications within transcriptomes.
- Functional and disease studies: Supports investigation of the roles of RNA modifications in gene regulation, epigenetics, and disease mechanisms.
Methodology:
Integrates computational prediction techniques with feature selection strategies and evaluates performance using 10-fold cross-validation and jackknife tests.
Topics
Details
- License:
- MIT
- Tool Type:
- api
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 2/4/2021
Operations
Publications
Liu K, Chen W. iMRM: a platform for simultaneously identifying multiple kinds of RNA modifications. Bioinformatics. 2020;36(11):3336-3342. doi:10.1093/bioinformatics/btaa155. PMID:32134472.
PMID: 32134472
Funding: - National Nature Scientific Foundation of China: 31771471
- Natural Science Foundation for Distinguished Young Scholar of Hebei Province: C2017209244
Links
Repository
https://github.com/liukeweiaway/iMRM