What Is Translational Bioinformatics? Essay

1715 words - 7 pages

Translational bioinformatics is a newly emerging field of informatics which defines as the development and application of informatics methods to optimize the transformation of increasingly massive biomedical data into practicable knowledge and novel technologies which can improve human health and diseases. There is a tremendous progress in scientific discovery since the foundation of double helix structure. However, it has not translated much into practical health benefit and has become a rate-limiting step for clinical application. Such phenomenon could be due to several barriers, one of which is the connection of molecular entities to clinical entities. There is a paradigm shift in biology where programs are focused upon the development and delivery of genomic and personalized medicine therefore the need for high-throughput and integrative approaches to assemble, manage and analyse the rapidly growing heterogeneous data sets has become imperative (Altman, 2012). As the world is in a new generation of information age, the incorporation of informatics into scientific studies becomes inevitable, leading to the development, advancement and application of translational bioinformatics. This essay will discuss the extent to which the development of translational bioinformatics in medical field can be the next game changer in medicine.
Translational bioinformatics have been greatly utilized in various newly emerging fields, for instances, biomarkers, systems biology and pharmacogenomics. The studies of biomarkers, systems biology and pharmacogenomics enable comprehensive understanding of diseases and empower scientists and clinicians to design individualized strategies to bring the right drugs with the right dosages to the right people at the right time via the right route due to genetic variation between individuals. These approaches help to minimize adverse effects, overcome therapeutic resistance, for instance, methicillin-resistant Staphylococcus aureus, as well as improve communication among various multidisciplinary groups. However, one of the most significant hindrances in the application of personalized medicine is the translation of scientific discoveries into improvise therapeutic outcomes. A key factor in the successful translation from bench to bedside is the accessibility and analysis of integrated data within and across functional domains. For example, most clinical and research data are currently stored in disparate and separate databases which is inefficient and inconvenient to access and retrieve these data. Therefore, translation bioinformatics serves as a platform to translate and bridge the gap between research and clinical practice. Translational bioinformatics incorporate informatics into scientific studies which allow data integration, standardization, categorization and management as well as resolving redundancies, inconsistencies and repetitions of representation of data. Translational bioinformatics not only allow effective...

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