Paper Info
Title
Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application.
Abstract
There has been an exponential growth in the performance and output of sequencing technologies (omics data) with full genome sequencing now producing gigabases of reads on a daily basis. These data may hold the promise of personalized medicine, leading to routinely available sequencing tests that can guide patient treatment decisions. In the era of high-throughput sequencing (HTS), computational considerations, data governance and clinical translation are the greatest rate-limiting steps. To ensure that the analysis, management and interpretation of such extensive omics data is exploited to its full potential, key factors, including sample sourcing, technology selection and computational expertise and resources, need to be considered, leading to an integrated set of high-performance tools and systems. This article provides an up-to-date overview of the evolution of HTS and the accompanying tools, infrastructure and data management approaches that are emerging in this space, which, if used within in a multidisciplinary context, may ultimately facilitate the development of personalized medicine.
Year
DOI
Venue
2019
10.1093/bib/bby051
BRIEFINGS IN BIOINFORMATICS
Keywords
DocType
Volume
high-throughput sequencing,personalized medicine,clinical translation,translational research,high-performance computing,grid computing,cloud computing
Journal
20
Issue
ISSN
Citations 
5
1467-5463
0
PageRank 
References 
Authors
0.34
20
7
Name
Order
Citations
PageRank
G. Lightbody1327.85
Valeriia Haberland2103.91
Fiona Browne37412.99
Laura Taggart400.34
Huiru Zheng545874.87
Eileen Parkes600.34
Jaine K. Blayney722.08