FunCoup

Major new developments in FunCoup 6 include vastly expanding the coverage of gene regulatory links, a new framework for bin-free Bayesian training and a new website. FunCoup 6 integrates a new tool for disease and drug target module identification using the TOPAS algorithm. To expand the utility of the resource for biomedical research, it incorporates pathway enrichment analysis using the ANUBIX and EASE algorithms. The unique comparative interactomics analysis in FunCoup provides insights of network conservation, now allowing users to align orthologs only or query each species network independently. Bin-free training was applied to 23 primary species, and in addition, networks were generated for all remaining 618 species in InParanoiDB 9.FunCoup 6的主要新进展包括大幅拓展基因调控链接（gene regulatory links）的覆盖范围、全新的无分箱贝叶斯训练（bin-free Bayesian training）框架，以及全新的官方网站。该数据库集成了一款基于TOPAS算法（TOPAS algorithm）的疾病与药物靶点模块识别工具。为提升该数据库资源在生物医学研究中的应用价值，其纳入了基于ANUBIX算法（ANUBIX algorithm）与EASE算法（EASE algorithm）的通路富集分析（pathway enrichment analysis）功能。FunCoup独有的比较互作组学分析（comparative interactomics analysis）可提供网络保守性（network conservation）相关洞察，如今支持用户仅进行同源基因（orthologs）比对，或独立查询各物种的调控网络。无分箱贝叶斯训练已应用于23个核心物种，此外还为InParanoiDB 9中剩余的全部618个物种生成了调控网络。

搜集汇总

背景与挑战

背景概述

FunCoup是一个功能关联网络数据集，其第六版在基因调控链接覆盖、贝叶斯训练框架和网站功能方面有显著改进。该版本整合了疾病和药物靶点识别工具，并提供了通路富集分析和跨物种比较互作组学分析功能。