Bioinformatics
Clinicians at the point of care need to understand and integrate entities such as genotype/phenotype correlations, biomarker discovery, and pharmacogenomics; while researchers require accurate, structured, and (ideally) coded clinical data, as well as biological reference data sets.
Abstract
Bioinformatics may be defined as āconceptualizing biology in terms of molecules and applying āinformatics techniquesā (e.g. applied mathematics, computer science and statistics) to understand and organize the information associated with these molecules, on a large scaleā. Clinical bioinformatics may be defined as āthe clinical application of bioinformatics-associated sciences and technologies to understand molecular mechanisms and potential therapies for human diseasesā. If clinical bioinformatics is to deliver the integration of molecular and clinical data and thereby translate research knowledge into effective āpersonalizedā medicine, then two broad constituencies need to be supported. Clinicians at the point of care need to understand and integrate, perhaps via decision support mechanisms, entities such as genotype/phenotype correlations, biomarker discovery, and pharmacogenomics; while researchers require accurate, structured, and (ideally) coded clinical data, as well as biological reference data sets.