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Biomarker discovery, high performance and cloud computing: A comprehensive review

机译:生物标记物发现,高性能和云计算:全面综述

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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.
机译:生物标志物(生物标志物)的分析具有通过预测和早期发现改善疾病临床结果的能力。下一代测序(NGS)技术的不断改进以及设备价格的下降正推动着研究和应用的发展,尤其是在医疗领域。 NGS技术正被用于癌症研究,有望对癌变产生更多的了解。但是,随着序列容量的增长,算法速度正成为重要的瓶颈。为了理解这些挑战,我们对目前发现生物标志物时面临的困难进行了综述。审查将重点放在测序技术和这些管道中遇到的瓶颈上。在应对生物标记研究中使用的技术和算法提出的计算挑战时,总结了云计算和高性能计算技术(例如Grid)。

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