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