Bioinformatic approach to identifying causative missense polymorphisms in animal genomes
The comprehensive bioinformatic analysis used in this study enables the differentiation of polymorphisms into neutral, where both amino acids in the polymorphic site do not significantly affect the structure and function of the protein, and causative, where one of the amino acids significantly impacts the protein's properties. This approach can be employed in future research to screen extensive sets of polymorphisms in animal genomes, identifying the most promising polymorphisms for further investigation in association studies.
Authors
- Viktor Balatsky (ORCID: https://orcid.org/0000-0002-6034-3852)
- Mykyta Peka (ORCID: https://orcid.org/0000-0003-0612-1164)
Institutions
- National Academy of Agrarian Sciences of Ukraine (UA)
- Poltava State Agrarian University (UA)
- V. N. Karazin Kharkiv National University (UA)
Publication Details
- Journal
- BMC Genomics
- Published
- 2024-12-19
- DOI
- https://doi.org/10.1186/s12864-024-11126-z
- Citations
- 3
- Primary Topic
- RNA and protein synthesis mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.70