Data Storage and Analysis system for conducting Biotechnological Experiments

Biomedical research, such as analyses of antiproliferative properties of certain compounds designed to target various human cancer cells, often requires extensive preclinical evaluation to obtain conclusive evidence. The first step in biological evaluation is typically very rigorous in comparing different compounds´ concentrations on a number of target cells in vitro. Therefore, the experiments yield a set of data that needs to be properly documented, classified, stored and analyzed. This paper presents the Data Storage and Analysis System designed to make that process simpler, faster and less prone to human errors. The importance of such research and its implications lead to high sensitivity to bias. Our system minimizes the chance for human error in the process of data transfer by making the process as automatic as possible and allowing the posterior validation of data by the lead researchers. The analysis most often requires both numerical calculations, such as the IC₅₀ value, and graphical visualization of compounds´ performances. The system offers to researchers a simple interface for simultaneous comparison of results by choosing the appropriate combination of a compound, target cells and date of experiments.