Microsatellites based algorithm for cross flanking regions identification in grass species

This research aims at exploring the evolutionary path of selected five grass species to understand how they evolve through time from a computer science perspective, by designing a new algorithm that employs raw data sequences to extract the information necessary for explaining the hypothesis that claims crossing over regions on genomes are responsible of pushing the evolutionary path of plant species. Basic Local Alignment Search Tool (BLAST) and Clustal Omega application were used to perform local alignment and global multiple alignments between species and define the relativity between them in order to approximately determine what species falls in the evolutionary path over time.