Advances in the technologies and informatics used to generate and process large biological
data sets (omics data) are promoting a critical shift in the study of biomedical sciences. While …

Background Many high-throughput experiments compare two phenotypes such as disease
vs. healthy, with the goal of understanding the underlying biological phenomena …

A critical component in the interpretation of systems-level studies is the inference of enriched
biological pathways and protein complexes contained within OMICs datasets. Successful …

Abstract Summary GREAT (Genomic Regions Enrichment of Annotations Tool) is a widely
used tool for functional enrichment on genomic regions. However, as an online tool, it has …

Functional enrichment analysis or gene set enrichment analysis is a basic bioinformatics
method that evaluates the biological importance of a list of genes of interest. However, it may …

Abstract We developed the Genomic Regions Enrichment of Annotations Tool (GREAT) to
analyze the functional significance of cis-regulatory regions identified by localized …

Background Gene set enrichment (GSE) analysis is a popular framework for condensing
information from gene expression profiles into a pathway or signature summary. The …

DAVID bioinformatics resources consists of an integrated biological knowledgebase and
analytic tools aimed at systematically extracting biological meaning from large gene/protein …

Functional analysis of large gene lists, derived in most cases from emerging high-throughput
genomic, proteomic and bioinformatics scanning approaches, is still a challenging and …

Background Gene-set enrichment analysis is a useful technique to help functionally
characterize large gene lists, such as the results of gene expression experiments. This …