GET THE APP

Big Data Analytics and the Impact of Genomics on the Future of Medicine and Health | SciTechnol

Journal of Applied Bioinformatics & Computational Biology.ISSN: 2329-9533

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Commentary,  J Appl Bioinformat Computat Biol Vol: 10 Issue: 3

Big Data Analytics and the Impact of Genomics on the Future of Medicine and Health

Gowthami Bainaboina*

Department of Pharmacy, Chalapathi Institute of Pharmaceutical Sciences, Guntur, AP, India

*Corresponding authors : Gowthami Bainaboina, Department of Pharmacy,  Chalapathi Institute of Pharmaceutical Sciences, Guntur, AP, India; E-mail: gowthamibainaboina@gmail.com 

Received: March 02, 2021 Accepted: March 16, 2021 Published: March 21, 2021 

Abstract

Big Data square measure radically ever-changing medicine analysis. The unexampled advances in machine-controlled assortment of large-scale molecular and clinical information cause major challenges to information analysis and interpretation, occupation for the event of latest process approaches. The creation of powerful systems for the effective use of medicine massive information in personalized medication (a.k.a. exactness Medicine) would force vital scientific and technical developments, as well as infrastructure, engineering, project and monetary management. Genomic medication makes an attempt to make personal ways for diagnostic or therapeutic decision-making by utilizing patients' genomic data. Massive information analytics uncovers hidden patterns, unknown correlations, and alternative insights through examining large-scale varied information sets. Whereas integration and manipulation of numerous genomic information and comprehensive electronic health records (EHRs) on a giant information infrastructure exhibit challenges, they conjointly give a possible chance to develop Associate in nursing economical and effective approach to spot clinically unjust genetic variants for personal designation and medical care. During this paper, we tend to review the challenges of manipulating large-scale next-generation sequencing (NGS) information and numerous clinical information derived from the EHRs for genomic medication. Genomic medication has the potential to create genetic designation of sickness additional economical and efficient method, by reducing genetic testing to one analysis, that then informs people throughout life.

Keywords: Genomics, Future of Medicine and Health , Bigdata

Introduction

Big Data square measure radically ever-changing medicine analysis. The unexampled advances in machine-controlled assortment of large-scale molecular and clinical information cause major challenges to information analysis and interpretation, occupation for the event of latest process approaches. The creation of powerful systems for the effective use of medicine massive information in personalized medication (a.k.a. exactness Medicine) would force vital scientific and technical developments, as well as infrastructure, engineering, project and monetary management. Genomic medication makes an attempt to make personal ways for diagnostic or therapeutic decision-making by utilizing patients' genomic data. Massive information analytics uncovers hidden patterns, unknown correlations, and alternative insights through examining large-scale varied information sets. Whereas integration and manipulation of numerous genomic information and comprehensive electronic health records (EHRs) on a giant information infrastructure exhibit challenges, they conjointly give a possible chance to develop Associate in nursing economical and effective approach to spot clinically unjust genetic variants for personal designation and medical care. During this paper, we tend to review the challenges of manipulating large-scale next-generation sequencing (NGS) information and numerous clinical information derived from the EHRs for genomic medication. Genomic medication has the potential to create genetic designation of sickness additional economical and efficient method, by reducing genetic testing to one analysis, that then informs people throughout life. Biomedical massive information exhibit distinctive options, like extremely distributed acquisition, format heterogeneousness, and content sensitivity. During this regard, the overall information Protection Regulation (EU) 2016/679 (GDPR), setting the framework of Associate in Nursing moral and anonymous processing, can have a major impact within the style of medicine analysis activities. Block chain-based cryptanalytic techniques for patient anonymization exploitation good contract technology [1] represent promising analysis lines that also need substantial investigation. 

The impact of genetics on the long run of medication and health

In recent years, there has been a rare leap in information of the human order and its role in health and sickness. A decade past, researchers were tentatively exploring the primary reference human order sequences, that value over $1 billion to provide [2,3]. Now, thousands of genomes from a cross-sectional of ethnic backgrounds are sequenced. This explosion of activity has been enabled by unexampled advances in sequencing technologies which will currently sequence an individual's entire order — over 6000 million bases — in days, at a price of US$1000, 3 with prices expected to fall more in returning years. 

.Cancer: stratifying tumors for treatment 

. Drug prescription and development 

.Diagnosing and characterizing inherited disease 

. From sickness designation to individualized genetic health. 

Conclusion

Genomic analysis provides opportunities for brand new approaches to therapeutic development, health supply and population health management. The medical and scientific communities round the world square measure simply commencing to seize the transformative opportunities that individualized, exactness genomic medication offers. With more investment within the infrastructure needed to amass and share clinical and genomic information

Track Your Manuscript

Google scholar citation report
Citations : 225

Journal of Applied Bioinformatics & Computational Biology received 225 citations as per google scholar report

Journal of Applied Bioinformatics & Computational Biology peer review process verified at publons