author(s)
Harshit Kumar, Manjit Panigrahi, Kaiho Kaisa, Divya Rajawat, KA Saravanan, Triveni Dutt and Bharat Bhushan

abstract
With the advent of sequencing technologies, now we have observed rapid advancements in biological research. Avenue of big data science steered the development of many new areas of interests with life science researchers. Approaches using big data mining and machine learning (ML) along with other well-established methods of genomics, molecular biology and biotechnology may be implemented with researches in chronobiology. Methodologies demonstrating usage of these techniques with “omics” studies have shown a noteworthy impact on the results of the same. On the other hand, data science unaided will not reject the need for a considerate understanding of the field of research, nor can such approaches substitute the need for researchers and analysts. Hence, so far understanding with this region of investigation is significantly important. It is obvious that the familiarity which has been generated via chronobiology and the applications of various tools resulting from big data science has backed up the acknowledgement of the various patterns and immense biological rhythms reported in organisms. The present text goals to create novel and vital applications in the coming future through chronobiology research orchestrating with big data science.