DAGViz: a directed acyclic graph browser that supports analysis of Gene Ontology annotation

Abstract

The number of nucleotide and protein sequences deposited in public databases has rapidly increased in recent times. To provide consistent annotation of orthologous genes across organisms, annotation using Gene Ontology (GO) terms is shared among most of these databases. GO outlines a structured vocabulary used for describing biological properties of gene products. The illustration of GO terms using complete paths to the root term on the basis of a directed acyclic graph (DAG) approach aids in the systematic grasping of the functional information related to a gene product. However, the website provided by the GO Consortium does not present DAGs for two or more GO terms due to difficulties in the depiction of the complex relationships of such GO terms. To overcome these problems, we have constructed a DAG-based browser, termed DAGViz, that shows DAG-based information of multiple GO terms assigned to one or more genes within a single screen (http://www.pgb.kazusa.or.jp/dagviz/). In the current report, we illustrate the advantages of DAGViz in analyzing GO annotation.