What are the application of translational bioinformatics?
TBI employs data mining and analyzing biomedical informatics in order to generate clinical knowledge for application. Clinical knowledge includes finding similarities in patient populations, interpreting biological information to suggest therapy treatments and predict health outcomes..
What are the examples of translational bioinformatics?
Several areas of translational bioinformatics include clinical genomics, genomic medicine, pharmacogenomics, and genetic epidemiology. In the aspect of translational biotechnology, precision medicine has its implications both in clinical medicine and also in therapeutic aspects, as in for the discovery of new drugs..
What is an example of translational bioinformatics?
Several areas of translational bioinformatics include clinical genomics, genomic medicine, pharmacogenomics, and genetic epidemiology. In the aspect of translational biotechnology, precision medicine has its implications both in clinical medicine and also in therapeutic aspects, as in for the discovery of new drugs..
What is translational bioinformatics vs clinical informatics?
Translational bioinformatics focuses on computational techniques in genetics, molecular biology, and systems biology. Clinical research (biomedical) informatics involves the use of informatics in discovery and management of new knowledge relating to health and disease..
What is translational bioinformatics?
Translational bioinformatics is the science of collecting, representing, storing, retrieving and processing data and knowledge for the improvement of human health. This research area focuses on the interface between bioinformatics and clinical research..
What is translational research in bioinformatics?
Translational bioinformatics is the science of collecting, representing, storing, retrieving and processing data and knowledge for the improvement of human health. This research area focuses on the interface between bioinformatics and clinical research..
Translational bioinformatics represents the union of translational medicine and bioinformatics. Translational medicine moves basic biological discoveries from the research bench into the patient-care setting and uses clinical observations to inform basic biology.
Defining translational bioinformatics Put more simply, it is the development of methods to transform massive amounts of data into health. Dr.AbstractIntroductionTranslational bioinformatics
Translational bioinformatics spans the data to knowledge spectrum, and bridges the gap between bench research and application to human health.AbstractIntroductionTranslational bioinformatics
Several areas of translational bioinformatics include clinical genomics, genomic medicine, pharmacogenomics, and genetic epidemiology. In the aspect of translational biotechnology, precision medicine has its implications both in clinical medicine and also in therapeutic aspects, as in for the discovery of new drugs.
What are some applications in translational research?
Here we describe some applications in the context of translational research. Researchers have shown that is possible to profile patient cohorts from EHRs using a variety of ontologies including:
SNOMED CT
MedDRA
and RxNorm (LePendu et al. 2011b ).
What is translational bioinformatics (TBI)?
Though a relatively young discipline, translational bioinformatics(TBI) has become a key component of biomedical research in the era of precision medicine. Development of high-throughput technologies and electronic health records has caused a paradigm shift in both healthcare and biomedical research.
Where does translational data come from?
Instead, much translational data from human beings comes from in vitro experiments on cell lines and observational inquiries regarding factors such as:
genotype
environmental factors
and outcomes. With so much inherent noise, very large sample sizes are typically required for new discoveries.
Which types of molecular data are based on translational bioinformatics?
Though which types of molecular data spans a broad spectrum including:
genomic
proteomic
metabolomic
epigenomic
and other data
much of the focus to date has been on genomic data. In this chapter we describe key methodological concepts on which translational bioinformatics is based, enabling molecular biomarker discovery.
Translational bioinformatics examples
Biological processes
Post-translational modification (PTM) is the covalent process of changing proteins following protein biosynthesis. PTMs may involve enzymes or occur spontaneously. Proteins are created by ribosomes translating mRNA into polypeptide chains, which may then change to form the mature protein product. PTMs are important components in cell signalling, as for example when prohormones are converted to hormones.
Post-translational modification (PTM) is the covalent process
Biological processes
Post-translational modification (PTM) is the covalent process of changing proteins following protein biosynthesis. PTMs may involve enzymes or occur spontaneously. Proteins are created by ribosomes translating mRNA into polypeptide chains, which may then change to form the mature protein product. PTMs are important components in cell signalling, as for example when prohormones are converted to hormones.
