Related Experiment Video
Updated: Sep 29, 2025

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
Published on: May 31, 2011
Functional Enrichment Analysis of Regulatory Elements
Adrian Garcia-Moreno1, Raul López-Domínguez1,2, Juan Antonio Villatoro-García1,2
1Bioinformatics Unit, Centre for Genomics and Oncological Research, GENYO, Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain.
Abstract:
Statistical methods for enrichment analysis are important tools to extract biological information from omics experiments. Although these methods have been widely used for the analysis of gene and protein lists, the development of high-throughput technologies for regulatory elements demands dedicated statistical and bioinformatics tools. Here, we present a set of enrichment analysis methods for regulatory elements, including CpG sites, miRNAs, and transcription factors. Statistical significance is determined via a power weighting function for target genes and tested by the Wallenius noncentral hypergeometric distribution model to avoid selection bias. These new methodologies have been applied to the analysis of a set of miRNAs associated with arrhythmia, showing the potential of this tool to extract biological information from a list of regulatory elements. These new methods are available in GeneCodis 4, a web tool able to perform singular and modular enrichment analysis that allows the integration of heterogeneous information.
Related Concept Videos
Cis-regulatory Sequences
Master Transcription Regulators
Cooperative Binding of Transcription Regulators
Regulation of Expression Occurs at Multiple Steps
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
Co-activators and Co-repressors
Regulation of Expression at Multiple Steps

