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Detecting history of species using mining of motifs in phylogenetic networks
S. Malik,
Published in Association for Computing Machinery
Volume: 11-16-November-2014
There has been continuous development in the wildlife DNA forensics research that relied on the collection and analysis of the biological samples over the past many years. But there is not enough progress to develop computational algorithms which could make the process of finding the origin of species easier and faster. Computational algorithms based on phylogenetic networks are capable of providing evidence to assist in wildlife law enforcement and species conversation. Our new algorithmic rule first rudiment to spot sample set, provides a promising new model for the strong reasoning of substructure and ancestry of wildlife trade. Our findings establish a clear evolutionary connection among many different problem sets.
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Published in Association for Computing Machinery
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