rMSA
rMSA generates high-quality multiple sequence alignments (MSAs) for RNA homologs to improve RNA secondary structure (rSS) and long-range contact prediction.
Key Features:
- Hierarchical Homolog Search and Alignment: Applies a hierarchical pipeline for sensitive homolog detection and accurate alignment tailored to target RNA sequences.
- Automated High-Quality MSA Generation: Produces optimized MSAs that improve RNA secondary structure prediction accuracy and increase F1-scores for long-range contact prediction compared to RNAcmap.
Scientific Applications:
- RNA Structure Modeling: Enhances prediction of RNA secondary structures and long-range contacts for functional and structural analysis.
Methodology:
rMSA performs iterative, hierarchical homolog searches followed by refined multiple sequence alignment to construct high-quality MSAs that support downstream RNA secondary structure and contact prediction.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Perl, C++
- Added:
- 1/26/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Zhang C, Zhang Y, Pyle AM. rMSA: A Sequence Search and Alignment Algorithm to Improve RNA Structure Modeling. Journal of Molecular Biology. 2023;435(14):167904. doi:10.1016/j.jmb.2022.167904. PMID:37356900.
PMID: 37356900
Funding: - National Science Foundation: ACI1548562
- National Human Genome Research Institute: HG011868
- National Institute of General Medical Sciences: GM136422, S10OD026825
- National Institute of Allergy and Infectious Diseases: AI134678
Links
Repository
https://github.com/pylelab/rMSA