• Dr. F. Amul Mary

The genome in human body programs the blueprint of one’s life. The genome sequence in human body provides the fundamental rules for human biology. Science makes every effort to reveal the laws of nature and critical understanding of the biology. Scientists in the life-science field and technological advancements helps the scientists to quickly create, store and analyze the data as fast as possible and as efficient as possible. The NCBI and other organizations maintain genome sequences, proteins, RNA, DNA and other information of all species as well as their behavioral data. There is a lot of data and translating these data into useful insights is the major concern. This is possible with big data technology that handles unstructured and semi structured and structured data. Big data plays a vital role in the field of Bioinformatics to extract meaningful information from large biological datasets to identify clinically actionable genetic variants for individualized diagnosis. Big data analytics helps the practitioners to give medical care to the patients from depiction to prediction with correct decision making capability. This paper aims at exploring the intersection between big data analytics and genomics particularly GC Content analysis which is useful for prediction and genome annotation. GC Content determination is useful in DNA and it affects the stability of DNA and secondary structure of mRNA. GC content contributes to the evolution rate of amino acid.

Big data Analytics, Genome, GC Content, NCBI

"GC content Analysis using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.b307-b311, March-2024, Available :http://www.jetir.org/papers/JETIR2403137.pdf

"GC content Analysis using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppb307-b311, March-2024, Available at : http://www.jetir.org/papers/JETIR2403137.pdf