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Clust&See3.0:聚类、模块探索和注释。

Clust&See3.0 : clustering, module exploration and annotation.

机构信息

TAGC (UMR1090), Aix-Marseille Université, INSERM, Turing Centre for Living Systems, Marseille, 13009, France.

INSERM-CNRS, CIML, Turing Centre for Living Systems,, Aix-Marseille Univ, Marseille, France.

出版信息

F1000Res. 2024 Nov 14;13:994. doi: 10.12688/f1000research.152711.1. eCollection 2024.

Abstract

BACKGROUND

Cytoscape is an open-source software to visualize and analyze networks. However, large networks, such as protein interaction networks, are still difficult to analyze as a whole.

METHODS

Here, we propose Clust&See3.0, a novel version of a Cytoscape app that has been developed to identify, visualize and manipulate network clusters and modules. It is now enriched with functionalities allowing custom annotations of nodes and computation of their statistical enrichments.

RESULTS

As the wealth of multi-omics data is growing, such functionalities are highly valuable for a better understanding of biological module composition, as illustrated by the presented use case.

CONCLUSIONS

In summary, the originality of Clust&See3.0 lies in providing users with a complete tool for network clusters analyses: from cluster identification, visualization, node and cluster annotations to annotation statistical analyses.

摘要

背景

Cytoscape 是一款用于可视化和分析网络的开源软件。然而,对于像蛋白质相互作用网络这样的大型网络,仍然难以整体进行分析。

方法

在这里,我们提出了 Clust&See3.0,这是 Cytoscape 应用程序的一个新版本,它是为了识别、可视化和操作网络簇和模块而开发的。现在,它还具有允许自定义节点注释和计算其统计富集的功能。

结果

随着多组学数据的丰富,这些功能对于更好地理解生物模块组成非常有价值,如所提出的用例所示。

结论

总之,Clust&See3.0 的新颖之处在于为用户提供了一个完整的网络簇分析工具:从簇识别、可视化、节点和簇注释到注释统计分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad98/11564923/3138ffff83c0/f1000research-13-174224-g0000.jpg

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