alexa Network Based Approach For Analyzing Complexities Associated With Diseases And Its Impact On Personalized Medicine | 62603
ISSN: 2157-7552

Journal of Tissue Science & Engineering
Open Access

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Global Congress on Tissue Engineering, Regenerative & Precision Medicine

Priyanka Narad
Amity University, India
Posters & Accepted Abstracts: J Tissue Sci Eng
DOI: 10.4172/2157-7552.C1.031
Abstract
A standout amongst the most critical assignments of integrated Bioinformatics is to connect the gaps among different information areas, from the fundamental investigations of genomics, proteomics, and metabolomics to a level based system where all connections are represented in a coherent picture. A holistic understanding of the basic molecular mechanisms underlying any biological process is important for the application of biological science to personalized medicine. Issues of unavailable information, dissimilar information sources, wasteful work process, and incapable corresponding call for a better informatics approach needs to be addressed by providing an integrated approach. Increasing the elemental information of integrative Bioinformatics approaches useful for studying cellular complexities using new holistic data on gene expression and epigenetic marks. Two basic approaches, namely the representation in the form of networks and semantic web technology have been described for the management of the ever increasing high throughput data. An integrated approach to disentangle the biological intricacies would be highly beneficial in the field of medical and health sciences. With the cost of genome sequencing has fallen tremendously in the past decade, understanding of these complexities by developing a model framework is essential for personalized medicine. This model can serve as the base model and perturbations can be made and analyzed based on individual data.
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