Abstract :
Bioinformatics is a multifaceted discipline combining
many scientific fields including computational biology,
statistics, mathematics, molecular biology, and genetics.
Bioinformatics enables biomedical investigators to
exploit existing and emerging computational technologies
to seamlessly store, mine, retrieve, and analyze
data from genomics and proteomics technologies. This
is achieved by creating unified data models, standardizing
data interfaces, developing structured vocabularies,
generating new data visualization methods, and capturing
detailed metadata that describes various aspects of
the experimental design and analysis methods. Already
there are a number of related undertakings that are
dividing the field into more specialized groups. Clinical
Bioinformatics and Biomedical Informatics are emerging
as transitional fields to promote the utilization of genomics
and proteomics data combined with medical history
and demographic data towards personalized medicine,
molecular diagnostics, pharmacogenomics and
predicting outcomes of therapeutic interventions. The
field of bioinformatics will continue to evolve through
the incorporation of diverse technologies and methodologies
that draw experts from disparate fields to create
the latest computational and informational tools specifically
design for the biomedical research enterprise