Reconstruction of novel transcription factor regulons through inference of their binding sites.

ABSTRACT:

Background

In most sequenced organisms the number of known regulatory genes (e.g., transcription factors (TFs)) vastly exceeds the number of experimentally-verified regulons that could be associated with them. At present, identification of TF regulons is mostly done through comparative genomics approaches. Such methods could miss organism-specific regulatory interactions and often require expensive and time-consuming experimental techniques to generate the underlying data.

Results

In this work, we present an efficient algorithm that aims to identify a given transcription factor's regulon through inference of its unknown binding sites, based on the discovery of its binding motif. The proposed approach relies on computational methods that utilize gene expression data sets and

SUBMITTER: Elmas A 

PROVIDER: S-EPMC4576408 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature