Augmenting Circadian Biology Research With Data Science.

ABSTRACT: The nature of biological research is changing, driven by the emergence of big data, and new computational models to parse out the information therein. Traditional methods remain the core of biological research but are increasingly either augmented or sometimes replaced by emerging data science tools. This presents a profound opportunity for those circadian researchers interested in incorporating big data and related analyses into their plans. Here, we discuss the emergence of novel sources of big data that could be used to gain real-world insights into circadian biology. We further discuss technical considerations for the biologist interested in including data science approaches in their research. We conversely discuss the biological considerations for data scientists so that they can more

SUBMITTER: Soltani S 

PROVIDER: S-EPMC11915776 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature