An Overview of Machine Learning and HPC in Open Sources for Bioinformatics*

Yin-Te Tsai
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引用次数: 3

Abstract

With development of recent open source software in HPC, such as Hadoop project, bioinformatics applications with large scale biological data can be solved more efficiently. The emerging machine learning algorithms are widely adapted for analysis, recognition and prediction. This paper will survey recent literatures about open source software of machine learning and HPC for bioinformatics applications. The commonly used machine learning algorithms for bioinformatics applications will be summarized here, and the situations of HPC adaption are also provided. Finally, the issues of future usages of machine learning for bioinformatics applications will be included.
生物信息学开源中的机器学习和高性能计算概述*
随着近年来开源软件在高性能计算领域的发展,如Hadoop项目,可以更有效地解决具有大规模生物数据的生物信息学应用。新兴的机器学习算法被广泛应用于分析、识别和预测。本文综述了生物信息学中机器学习和高性能计算开源软件的最新研究进展。本文将总结生物信息学应用中常用的机器学习算法,并提供HPC适应的情况。最后,将包括机器学习在生物信息学应用中的未来使用问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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