GET THE APP

Transcriptome analysis to identify disease resistance genes through novel next generation sequencing applications for the predictive medicine | Abstract
Scholars Research Library

Scholars Research Library

A-Z Journals

+44 7389645282

Journal of Computational Methods in Molecular Design

Abstract

Transcriptome analysis to identify disease resistance genes through novel next generation sequencing applications for the predictive medicine

Author(s): C N Prashantha

Predictive medicine could be a comparatively new subspecialty in health care, however the construct isn’t novel. Within the simplest terms, predictive medicine utilizes specific laboratory and genetic tests to see the chance if a individual can develop a disease. The use of biomarkers has been common within the field on medical specialty to predict repeat of cancer, however currently the aim is to extend the employment of comparable biomarkers to predict the lot of common clinical disorders in lifestyle. Breakthrough within the next generation sequencing (NGS) chances to research genetic variations in humans and their roles in health and disease. NGS offers regional genomic sequencing like whole exome sequencing of coding regions of all genes, as well as whole genome sequencing. RNASeq offers sequencing the complete transcriptomics and ChIP-Seq permits for sequencing the epigenetic architecture of the genome. Identifying genetic variations in each individual may be used to predict disease risk, with the potential to halt or retard the disease progression