Big data in bioanalytical sciences refers to the massive volumes of _data_ generated from biological, chemical, and physical analyses. This data comes from various sources, including _genomics_, _proteomics_, _metabolomics_, and _clinical trials_. The complexity and diversity of this data require advanced computational tools and methods to store, manage, and analyze effectively.
