Computational Phylogenetics Pattern Recognition Evolutionary Tree Homology
Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Serdica Journal of Computing, Vol. 12, No 3, (2018), 163p-174p
This study is focused on the development of a pattern-finding method for analyzing evolutionary trees to predict genes that may be involved in C4 photosynthesis. It relies on publicly available phylogenetic data which is processed with the authors’ own Python scripts and opensource software. The pattern recognition in the topology of the trees is an essential part of the process and the result is then validated by comparing the expression levels of the selected candidates. The same approach can be applied in studying the evolution of other important traits just by changing the type of pattern.