Suppr超能文献

iCTNet2:整合异质生物相互作用以理解复杂性状。

iCTNet2: integrating heterogeneous biological interactions to understand complex traits.

作者信息

Wang Lili, Himmelstein Daniel S, Santaniello Adam, Parvin Mousavi, Baranzini Sergio E

机构信息

School of Computing, Queen's University, Kingston, Ontario, K7L 3N6, Canada.

Graduate Program in Biological and Medical Informatics, University of California, San Francisco, San Francisco, CA, 94143-0523, USA.

出版信息

F1000Res. 2015 Aug 5;4:485. doi: 10.12688/f1000research.6836.2. eCollection 2015.

Abstract

iCTNet (integrated Complex Traits Networks) version 2 is a Cytoscape app and database that allows researchers to build heterogeneous networks by integrating a variety of biological interactions, thus offering a systems-level view of human complex traits. iCTNet2 is built from a variety of large-scale biological datasets, collected from public repositories to facilitate the building, visualization and analysis of heterogeneous biological networks in a comprehensive fashion via the Cytoscape platform. iCTNet2 is freely available at the Cytoscape app store.

摘要

iCTNet(整合复杂性状网络)版本2是一款Cytoscape应用程序和数据库,它允许研究人员通过整合各种生物相互作用来构建异质网络,从而提供人类复杂性状的系统级视图。iCTNet2基于从公共存储库收集的各种大规模生物数据集构建,以便通过Cytoscape平台以全面的方式促进异质生物网络的构建、可视化和分析。iCTNet2可在Cytoscape应用商店免费获取。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验