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Title: In silico Prediction of C4-related Genes by Finding Duplications Causing Pattern Deviation and Comparative Analysis of Phylogenetic Trees
Authors: Avdjieva, Irena
Milko, Krachunov
Dimitar, Vassilev
Keywords: Computational Phylogenetics
Pattern Recognition
Evolutionary Tree
Issue Date: 2018
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Serdica Journal of Computing, Vol. 12, No 3, (2018), 163p-174p
Abstract: 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.
ISSN: 1312-6555
Appears in Collections:Volume 12, Number 3

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