A Bioinformatics Approach in Discovery Science

Abstract

Research focused in detecting cause and progression of the diseases is gathering an impressive amount of data. Integrating available information in a systemic approach requires knowledge about details as well as overview about predictable interconnections. The amount of accumulated data often underscores human mind capabilities to perceiving links and correlations. The paper offers an overview about several schools of thoughts perceiving OA as a systemic disease Bioinformatics is proposed as a tool in organizing existent knowledge aiming introduction of the discovery approach in using clinical and experimental data. Computational biology is used to detect possible correlations and links in molecular pathways and further pointed as one useful method to design focused systematic research.