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Fig. 1 | Genome Biology

Fig. 1

From: VULCAN integrates ChIP-seq with patient-derived co-expression networks to identify GRHL2 as a key co-regulator of ERa at enhancers in breast cancer

Fig. 1

An overview of VULCAN. (1) ChIP-seq analysis from multiple conditions is undertaken to generate cistrome data at multiple time points (or conditions). Binding events are then compared using differential binding analysis to establish log-fold change values for individual binding events between each time point. (2) Network generation was undertaken with ARACNe-AP by inferring all pairwise TF-target co-expression from patient datasets (e.g., TCGA breast and METABRIC datasets). (3) All the targets of each specific TF in the network, i.e., the individual regulons, are tested against the established changes in ER binding through the msVIPER algorithm [15] to identify proteins that interact with the target transcriptional factor and final prediction is given for potential interacting cofactors

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