Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA.
Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Nucleic Acids Res. 2017 Jul 3;45(W1):W130-W137. doi: 10.1093/nar/gkx356.
Functional enrichment analysis has played a key role in the biological interpretation of high-throughput omics data. As a long-standing and widely used web application for functional enrichment analysis, WebGestalt has been constantly updated to satisfy the needs of biologists from different research areas. WebGestalt 2017 supports 12 organisms, 324 gene identifiers from various databases and technology platforms, and 150 937 functional categories from public databases and computational analyses. Omics data with gene identifiers not supported by WebGestalt and functional categories not included in the WebGestalt database can also be uploaded for enrichment analysis. In addition to the Over-Representation Analysis in the previous versions, Gene Set Enrichment Analysis and Network Topology-based Analysis have been added to WebGestalt 2017, providing complementary approaches to the interpretation of high-throughput omics data. The new user-friendly output interface and the GOView tool allow interactive and efficient exploration and comparison of enrichment results. Thus, WebGestalt 2017 enables more comprehensive, powerful, flexible and interactive functional enrichment analysis. It is freely available at http://www.webgestalt.org.
功能富集分析在高通量组学数据的生物学解释中发挥了关键作用。WebGestalt 作为一个长期以来广泛使用的功能富集分析网络应用程序，一直在不断更新，以满足来自不同研究领域的生物学家的需求。WebGestalt 2017 支持 12 种生物、来自各种数据库和技术平台的 324 个基因标识符以及来自公共数据库和计算分析的 150937 个功能类别。WebGestalt 不支持的具有基因标识符的组学数据和未包含在 WebGestalt 数据库中的功能类别也可以上传进行富集分析。除了之前版本中的过表达分析外，WebGestalt 2017 还增加了基因集富集分析和基于网络拓扑的分析，为高通量组学数据的解释提供了补充方法。新的用户友好型输出界面和 GOView 工具允许交互式和高效地探索和比较富集结果。因此，WebGestalt 2017 实现了更全面、强大、灵活和交互式的功能富集分析。它可免费在 http://www.webgestalt.org 获得。
Zotero 插件
