A new IRMA module for analyzing whole-genome sequences from human metapneumovirus
The large amount of genetic diversity in human metapneumovirus makes reference-based alignments difficult. We created a new module for the Iterative Refinement Meta-Assembler (IRMA) that performs alignment and consensus sequence generation without requiring subtyping and can handle duplications in the glycoprotein. This module increases the feasibility of genomic surveillance.
Authors
- Emily E. Bendall (ORCID: https://orcid.org/0000-0003-2524-088X)
- Adam S. Lauring (ORCID: https://orcid.org/0000-0003-2906-8335)
Institutions
- University of Michigan (US)
Publication Details
- Journal
- Microbiology Resource Announcements
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1128/mra.00901-25
- Citations
- 1
- Primary Topic
- Respiratory viral infections research
- Type
- article
- Field-Weighted Citation Impact
- 1.35