DocumentCode
3714595
Title
Biomarker discovery, high performance and cloud computing: A comprehensive review
Author
Jaine Blayney;Valeriia Haberland;Gaye Lightbody;Fiona Browne
Author_Institution
School of Medicine, Dentistry and Biomedical Sciences, Queen´s University Belfast, BT7 1NN, United Kingdom
fYear
2015
Firstpage
1514
Lastpage
1519
Abstract
The analysis of biological markers (biomarkers) have the ability to improve clinical outcomes of a disease through prediction and early detection. The constant improvement of next generation sequencing (NGS) technologies coupled with falling equipment price are driving research and application especially in the medical domain. NGS technology is being applied to cancer research promising greater understanding of carcinogenesis. However, as sequence capacity grows, algorithmic speed is becoming an important bottleneck. To understand these challenges we present a review on difficulties currently faced in discovering biomarkers. The review places the spotlight on sequencing technologies and the bottlenecks encountered in these pipelines. Cloud computing and high performance computing technologies such as Grid are summarized in tackling computational challenges presented by technologies and algorithms used in biomarker research.
Keywords
"Genomics","Bioinformatics","Sequential analysis","Robustness","Decision support systems"
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/BIBM.2015.7359900
Filename
7359900
Link To Document