Integrative genomic analysis by interoperation of bioinformatics tools in GenomeSpace.
Integrative genomic analysis by interoperation of bioinformatics tools in GenomeSpace.
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DOI：
10.1038/nmeth.3732
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发表时间：
2016-03
期刊：
影响因子：
48
通讯作者：
Mesirov JP
中科院分区：
文献类型：
--
作者：
Qu K;Garamszegi S;Wu F;Thorvaldsdottir H;Liefeld T;Ocana M;Borges-Rivera D;Pochet N;Robinson JT;Demchak B;Hull T;Ben-Artzi G;Blankenberg D;Barber GP;Lee BT;Kuhn RM;Nekrutenko A;Segal E;Ideker T;Reich M;Regev A;Chang HY;Mesirov JP
对多种数据类型进行综合分析以解决复杂的生物医学问题需要协同使用多种软件工具，这对大多数生物医学研究界来说仍然是一个巨大的挑战。在这里，我们介绍一个基于云的合作社区资源：基因组空间（http://www.genomespace.org）。作为六种最流行的基因组学分析工具的合作，基因组空间现在支持20种生物信息学工具和数据资源的简化交互。为了促进非编程用户在综合分析中利用基因组空间的能力，它提供了一套不断增长的“配方”，包括一些工具和步骤的简短工作流程，以指导研究人员完成高效用分析任务。
Integrative analysis of multiple data types to address complex biomedical questions requires the use of multiple software tools in concert and remains an enormous challenge for most of the biomedical research community. Here we introduce GenomeSpace (http://www.genomespace.org), a cloud-based, cooperative community resource. Seeded as a collaboration of six of the most popular genomics analysis tools, GenomeSpace now supports the streamlined interaction of 20 bioinformatics tools and data resources. To facilitate the ability of non-programming users’ to leverage GenomeSpace in integrative analysis, it offers a growing set of ‘recipes’, short workflows involving a few tools and steps to guide investigators through high utility analysis tasks.