Huge amount of genomic and related data is available in public domain, but they are not manageable. So, it has become the need of the hour to search for faster and reliable algorithms to work on such large genomic databases. Generally, the genomic data comes under 'Big Data' and the implementation of the huge data is a hard task. In this case, the public who are working in the field of data mining and pattern recognition understood the emphasis of 'Machine learning' capability in evaluating

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... big data. In this connection, this paper recommends a novel procedure of 'Supernatural classification of genomic strings' for DNA analysis scheme.