Abstract:
Phylogenetic Inference is the reconstruction of a
phylogenetic tree that depicts the evolutionary relationship
among a group of taxa. This evolutionary relationship between
different groups of species is useful for fields such as medicine,
forensics, and drug discovery. With the availability of multiple
phylogenetic inference algorithms, it is challenging to select the
optimal algorithm for novice users. Moreover, it is essential to
compare the accuracy and efficiency of different algorithms for
a given dataset. Thus, there is a need for a recommendation
system to identify the most appropriate phylogenetic inference
algorithm for each dataset. This paper presents a Rule-based
recommendation component that suggests users with suitable
algorithms for inferencing. The evaluation results show the
recommendations suggested by the system are 86.7% relevant
and accurate.
