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Clinical Bioinformatics and its role in Clinical research
Scientific Federation invites all the participants
from all over the world to attend 2nd World
Congress on Clinical Research & Biomarkers during September
17-18, 2018 Toronto, Canada.
Computational learning
is the discovery of new knowledge about health and disease. In Bioinformatics
methods in clinical research experts examine the latest developments in the
area of cancer, AIDS, HIV, HBV etc., this research helps for clinical
diagnosis, prognosis and there is the peptic purpose. It also helps in
selecting the appropriate tool to analyze the data obtained from the technique
for clinical research validation.
Bioinformatics nowadays helps in clinical research by developing universal
human genome database. In 1998, experiments were conducted on “Expressed
Sequence tags” (EST) in human stem cells Bioinformatics. 10,000 sequences were
analyzed using these methodologies in genomics, proteomics, metabolomics, drug
biomarkers, dermatology and clinical quality care. The sequencing of the
database varied and it was identified that few sequences showed already know
sequence database. Some showed previously identified with public domino
sequence. Others were undescribed. Few also showed mitochondrial DNA, Ribosomal
DNA. Thus, applications for bioinformatics are Identification of genomic
medicine (EMR’S, PHR’S), Pharmacogenomic Biomarkers (CYP2D6, OATP181, UGTIAI,
and TPMT) and Analysis of omitting data. The term “Clinical Bioinformatics” is
the “Clinical application of bioinformatics associate sciences and technologies
to understand molecular mechanism and potential therapies for human diseases”,
a new and important concept for the development of the disease. We are having
solid evidence that the generation and expansion of genomic, transcriptomic and
proteomic data from human studies by high throughput biotechnologies have increased
enormously. In the same way, clinical measurements and examined information are
elevated by the development of advanced clinical devices.
Clinical bioinformatics
plays an important role in many numbers of clinical applications, metabolic and
signaling pathways, biomarker discovery, genomics, proteomics, human tissue
bank and profiling, and systems biology. This way we could summarize the high
potentialities of Bioinformatics in a various field based on the sequencing
information and referring the sequenced database.
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