Phylogenetic analysis based on Machine Learning Algorithm
The interpretation of the phylogenetic tree is an essential yet challenging aspect of evolutionary studies. To conduct an evolutionary study of the organisms is the core of biological research. The resulting phylogeny is then subjected to a plethora of analyses essential for further genomic research (Azouri 2021). The phylogenetic analysis involves several methods that can be used to interpret data. Recently, researchers have begun studying the use of machine learning in inferring phylogenetic trees. Contact:
The interpretation of the phylogenetic tree is an essential yet challenging aspect of evolutionary studies. To conduct an evolutionary study of the organisms is the core of biological research. The resulting phylogeny is then subjected to a plethora of analyses essential for further genomic research (Azouri 2021). The phylogenetic analysis involves several methods that can be used to interpret data. Recently, researchers have begun studying the use of machine learning in inferring phylogenetic trees.
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The applications of phylogenetic analysis are numerous.
These include – reconstruction of the ancestral gene for the derivation of extant
genes, study of human disease and epidemiology, interpretation of the evolution of
ecological and behavioural traits, estimation of historical biogeographic
relationships, and many more.
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