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NetworkAnalyst 3.0:一个用于全面基因表达谱分析和荟萃分析的可视化分析平台。

NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis.

机构信息

Institute of Parasitology, McGill University, Montreal, Quebec, Canada.

Department of Natural Resource Sciences, McGill University, Montreal, Quebec, Canada.

出版信息

Nucleic Acids Res. 2019 Jul 2;47(W1):W234-W241. doi: 10.1093/nar/gkz240.

Abstract

The growing application of gene expression profiling demands powerful yet user-friendly bioinformatics tools to support systems-level data understanding. NetworkAnalyst was first released in 2014 to address the key need for interpreting gene expression data within the context of protein-protein interaction (PPI) networks. It was soon updated for gene expression meta-analysis with improved workflow and performance. Over the years, NetworkAnalyst has been continuously updated based on community feedback and technology progresses. Users can now perform gene expression profiling for 17 different species. In addition to generic PPI networks, users can now create cell-type or tissue specific PPI networks, gene regulatory networks, gene co-expression networks as well as networks for toxicogenomics and pharmacogenomics studies. The resulting networks can be customized and explored in 2D, 3D as well as Virtual Reality (VR) space. For meta-analysis, users can now visually compare multiple gene lists through interactive heatmaps, enrichment networks, Venn diagrams or chord diagrams. In addition, users have the option to create their own data analysis projects, which can be saved and resumed at a later time. These new features are released together as NetworkAnalyst 3.0, freely available at https://www.networkanalyst.ca.

摘要

基因表达谱分析的应用日益广泛,这就需要强大而又用户友好的生物信息学工具来支持系统层面的数据理解。NetworkAnalyst 于 2014 年首次发布,旨在解决在蛋白质-蛋白质相互作用 (PPI) 网络背景下解释基因表达数据的关键需求。它很快就更新了基因表达荟萃分析,改进了工作流程和性能。多年来,NetworkAnalyst 根据社区反馈和技术进展不断更新。用户现在可以对 17 个不同的物种进行基因表达谱分析。除了通用的 PPI 网络,用户现在还可以创建细胞类型或组织特异性的 PPI 网络、基因调控网络、基因共表达网络以及毒理学和药物基因组学研究网络。生成的网络可以在 2D、3D 和虚拟现实 (VR) 空间中进行自定义和探索。对于荟萃分析,用户现在可以通过交互式热图、富集网络、Venn 图或和弦图直观地比较多个基因列表。此外,用户还可以选择创建自己的数据分析项目,这些项目可以保存并在以后恢复。这些新功能作为 NetworkAnalyst 3.0 一起发布,可在 https://www.networkanalyst.ca 免费获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a93/6602507/1570f9ae54e0/gkz240fig1.jpg

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