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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PHYLOGENETIC
ANALYSIS
The study of the evolutionary history of a species or a
group of organisms is known as phylogenetic analysis.
Here, the evolutionary relationship between different
species or organisms having a common ancestor is
represented with the help of branching diagrams.
This diagram is called the phylogenetic tree, which can be
either rooted or unrooted.
Phylogenetic analysis can also be used to study the
relationship between characteristics of an organism,
including genes and proteins.
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