AI Article Synopsis
- The study highlights the importance of understanding the relationship between parasites and their hosts at the codon level to better grasp evolutionary dynamics and predict new parasite traits.
- The parazitCUB R package is introduced as a new tool for analyzing codon usage co-adaptation between parasites and hosts, filling a gap in current research methodologies.
- parazitCUB supports large datasets and offers various analytical features, including indices, cluster analysis, and data visualization, to enhance the understanding of parasite-host interactions and evolutionary trends.
Article Abstract
Examining the intricate association between parasites and their hosts, particularly at the codon level, assumes paramount importance in comprehending evolutionary processes and forecasting the characteristics of novel parasites. While diverse metrics and statistical analyses are available to explore codon usage bias (CUB), there presently exists no dedicated tool for examining the co-adaptation of codon usage between parasites and hosts. Therefore, we introduce the parazitCUB R package to address this challenge in a scalable and efficient manner, as it is capable of handling extensive datasets and simultaneously analyzing of multiple parasites with optimized performance. parazitCUB enables the elucidation of parasite-host interactions and the evolutionary patterns of parasites through the implementation of various indices, cluster analysis, multivariate analysis, and data visualization techniques. The tool can be accessed at the following location: https://github.com/AliYoussef96/parazitCUB.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682597 | PMC |
| http://dx.doi.org/10.12688/f1000research.143223.1 | DOI Listing |
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