The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update.
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update.
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DOI：
10.1093/nar/gkw343
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发表时间：
2016-07-08
影响因子：
14.9
通讯作者：
Goecks J
中科院分区：
文献类型：
--
作者：
Afgan E;Baker D;van den Beek M;Blankenberg D;Bouvier D;Čech M;Chilton J;Clements D;Coraor N;Eberhard C;Grüning B;Guerler A;Hillman-Jackson J;Von Kuster G;Rasche E;Soranzo N;Turaga N;Taylor J;Nekrutenko A;Goecks J
高通量数据生产技术，特别是“下一代”DNA测序，已经为生物医学研究带来了广泛和颠覆性的变化。理解这些技术产生的大型数据集需要复杂的统计和计算方法，以及大量的计算能力。这导致了生命科学的严重危机，因为没有受过信息学培训的研究人员试图进行依赖计算的分析。自2005年以来，银河项目一直致力于解决这个问题，提供了一个框架，使先进的计算工具，非专家可用。Galaxy旨在通过提供一个基于Web的环境，使数据密集型研究更容易获得，透明和可复制，用户可以在其中执行计算分析，并自动跟踪所有细节，以便以后检查，出版或重复使用。在这份报告中，我们强调了最近增加的功能，使生物医学分析的大规模。
High-throughput data production technologies, particularly ‘next-generation’ DNA sequencing, have ushered in widespread and disruptive changes to biomedical research. Making sense of the large datasets produced by these technologies requires sophisticated statistical and computational methods, as well as substantial computational power. This has led to an acute crisis in life sciences, as researchers without informatics training attempt to perform computation-dependent analyses. Since 2005, the Galaxy project has worked to address this problem by providing a framework that makes advanced computational tools usable by non experts. Galaxy seeks to make data-intensive research more accessible, transparent and reproducible by providing a Web-based environment in which users can perform computational analyses and have all of the details automatically tracked for later inspection, publication, or reuse. In this report we highlight recently added features enabling biomedical analyses on a large scale.