RegulatorTrail 1.0
A web service for the identification of key transcriptional regulators
Scenario 1: Over-representation analysis
Upload gene lists, or gene expression data to find key transcriptional regulators whose set of target genes have a significant overlap with differentially expressed genes.
Scenario 2: REGGAE, RIF1 or RIF2 analyis
Upload a gene expression matrix to find influential regulators, that might explain gene expression differences between two groups of samples, based on our regulator-target interaction (RTI) database.
Scenario 3: TEPIC analysis
Upload open-chromatin regions or histone marks to calculate affinity scores of transcription factors and all potential target genes based on position weight matrices (PWM).
Scenario 4: INVOKE analysis
Upload open-chromatin regions as well as gene expression data to calculate affinity scores of transcription factors and to infer the influence on their target genes using linear regression.