Streamline unsupervised machine learning to survey and graph indel-based haplotypes from pan-genomes

Researchers have come up with a simpler way to study genetic variations in pan-genomes, which are the complete set of genes in a particular species, by using a type of computer learning called unsupervised machine learning. Their method focuses on a specific type of genetic variation called indels, which are small changes in the DNA sequence. This approach helps scientists gain insights into the genetic diversity among different species in a less time-consuming manner, which can lead to a better understanding of how genes evolve and function in various organisms.