CoRegNet: reconstruction and integrated analysis of co-regulatory networks.
CoRegNet: reconstruction and integrated analysis of co-regulatory networks.
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DOI：
10.1093/bioinformatics/btv305
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发表时间：
2015-09-15
期刊：
影响因子：
--
通讯作者：
Elati M
中科院分区：
文献类型：
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作者：
Nicolle R;Radvanyi F;Elati M
CoRegNet是一个R/Bioconductor软件包，通过突出显示共同调节因子集来分析大规模转录组数据。基于转录组学数据集，CoRegNet可用于：重建大规模的共调控网络，整合转录因子结合位点和ChIP数据等调控证据，估计样品特异性调控活性，识别合作转录因子，并通过交互式可视化工具分析活性调控因子的样品特异性组合。在这项研究中，CoRegNet被用于识别膀胱癌的驱动调节因子。可用性：CoRegNet可在http://bioconductor.org/packages/CoRegNet上获得联系：remy.nicolle@issb.genopole.fr或mohamed.elati@issb.genopole.fr。补充信息：补充数据可在Bioinformatics在线上获得。
CoRegNet is an R/Bioconductor package to analyze large-scale transcriptomic data by highlighting sets of co-regulators. Based on a transcriptomic dataset, CoRegNet can be used to: reconstruct a large-scale co-regulatory network, integrate regulation evidences such as transcription factor binding sites and ChIP data, estimate sample-specific regulator activity, identify cooperative transcription factors and analyze the sample-specific combinations of active regulators through an interactive visualization tool. In this study CoRegNet was used to identify driver regulators of bladder cancer. Availability: CoRegNet is available at http://bioconductor.org/packages/CoRegNet Contact: remy.nicolle@issb.genopole.fr or mohamed.elati@issb.genopole.fr Supplementary information: Supplementary data are available at Bioinformatics online.