During the last two decades, data generated by Next Generation Sequencing Technologies
have revolutionized our understanding of human biology and improved the study on how …

Nowadays, machine learning and deep learning have proven to be an encouraging field
after artificial intelligence. Deep learning being operative, supervised, time and cost-effective …

Genomics is advancing towards data-driven science. Through the advent of high-throughput
data generating technologies in human genomics, we are overwhelmed with the heap of …

Data advocacy and aloofness has concluded up of captivation and ascendancy as an end
aftereffect of the accustom and chancy addition of the cyber world. Withal, addition of …

The term" data" being mostly used, experimented, analyzed, and researched," Data Science
and its Applications" finds relevance in all domains of research studies including science …

The ubiquity of Internet of Things (IoT) devices has completely changed the healthcare
industry by presenting previously unheard-of potential for remote patient monitoring and …

In this digital era, we are exposed to a large amount of data. This includes biological data,
which stores information about living organisms, including Deoxyribonucleic acid (DNA) …

Machine learning has been used in solving various bioinformatics tasks such as storage of
biomedical data, naming conventions for new and existing organisms, gene expression …

Bioinformatics is the use of computing for acquisition, management, organization, storage
and analysis of biological data. The introduction of various bioinformatics applications plays …

Background: The big data analytics in health care necessitates the need of security while
handling the person specific data obtained through pharmacogenomic as well as deep …