It is important to develop computational methods to predict target genes of a transcription factor. In this paper, we developed a phylogenetic footprinting method to effectively identify target genes on the whole genome scale. Appling the method to 31 transcription factors, we improved the quality of the initial motifs, and predicted additional target genes that are supported by gene ontology analysis. We also showed that the predicted target genes of different transcription factors could provide evidences of cooperation to form transcription modules. Our method provides useful tools for systematic study of gene regulatory networks. © 2010 IEEE
Motivation: Phylogenetic Footprint is a new approach for revealing potential transcription factor bi...
Whole-genome sequences are now available for >100 bacterial species, giving unprecedented power to c...
Comprehensive identification of DNA cis-regulatory elements is crucial for a predictive understandin...
It is important to develop computational methods to predict target genes of a transcription factor. ...
Abstract Background All known genomes code for a large number of transcription factors. It is import...
Understanding the regulation of gene expression, transcription regulation in particular, is one of t...
The roles and target genes of many transcription factors (TFs) are still unknown. To predict the rol...
Defining regulatory networks, linking transcription factors (TFs) to their targets, is a central pro...
Toward the goal of identifying complete sets of transcription factor (TF)-binding sites in the genom...
Networks of regulatory relations between transcription factors (TF) and their target genes (TG)- imp...
International audienceNetworks of regulatory relations between transcription factors (TF) and their ...
Novel computational methods for finding transcription factor binding motifs have long been sought du...
To delineate the astronomical number of possible interactions of all genes in a genome is a task for...
Networks of regulatory relations between transcription factors (TF) and their target genes (TG)- imp...
In this dissertation, computational approaches are developed which aim to characterize the behavior ...
Motivation: Phylogenetic Footprint is a new approach for revealing potential transcription factor bi...
Whole-genome sequences are now available for >100 bacterial species, giving unprecedented power to c...
Comprehensive identification of DNA cis-regulatory elements is crucial for a predictive understandin...
It is important to develop computational methods to predict target genes of a transcription factor. ...
Abstract Background All known genomes code for a large number of transcription factors. It is import...
Understanding the regulation of gene expression, transcription regulation in particular, is one of t...
The roles and target genes of many transcription factors (TFs) are still unknown. To predict the rol...
Defining regulatory networks, linking transcription factors (TFs) to their targets, is a central pro...
Toward the goal of identifying complete sets of transcription factor (TF)-binding sites in the genom...
Networks of regulatory relations between transcription factors (TF) and their target genes (TG)- imp...
International audienceNetworks of regulatory relations between transcription factors (TF) and their ...
Novel computational methods for finding transcription factor binding motifs have long been sought du...
To delineate the astronomical number of possible interactions of all genes in a genome is a task for...
Networks of regulatory relations between transcription factors (TF) and their target genes (TG)- imp...
In this dissertation, computational approaches are developed which aim to characterize the behavior ...
Motivation: Phylogenetic Footprint is a new approach for revealing potential transcription factor bi...
Whole-genome sequences are now available for >100 bacterial species, giving unprecedented power to c...
Comprehensive identification of DNA cis-regulatory elements is crucial for a predictive understandin...