Identifies the correct motif from a set of co-expressed genes and predicts target genes of individual Transcription Factors (TFs). cisTargetX uses statistical correlations between co-expressed gene sets and genome-wide target prioritizations on the basis of rankings of conserved motif cluster predictions. It can determine whether a set of candidate genes, for example a mixture of direct and indirect target genes, is enriched for direct targets of a certain TF or combination of TFs.
Laboratory of Neurogenetics, Department of Molecular and Developmental Genetics, VIB, Leuven, Belgium; Laboratory of Computational Biology, Katholieke Universiteit (K.U.) Leuven, Leuven, Belgium; Center for Human Genetics, K.U. Leuven, Leuven, Belgium; Doctoral Program in Molecular and Developmental Genetics, K.U. Leuven Group Biomedicine, Leuven, Belgium
cisTargetX funding source(s)
Supported by VIB and Impuls, CREA, and Geconcerteerd Onderzoeksacties (GOA) grants from K.U. Leuven, FWO project 3M070090, and FWO postdoctoral fellowship.