Division of Electronics, Rudjer Boskovic Institute, Zagreb, Croatia.
PLoS One. 2011;6(7):e21800. doi: 10.1371/journal.pone.0021800. Epub 2011 Jul 18.
Outcomes of high-throughput biological experiments are typically interpreted by statistical testing for enriched gene functional categories defined by the Gene Ontology (GO). The resulting lists of GO terms may be large and highly redundant, and thus difficult to interpret.REVIGO is a Web server that summarizes long, unintelligible lists of GO terms by finding a representative subset of the terms using a simple clustering algorithm that relies on semantic similarity measures. Furthermore, REVIGO visualizes this non-redundant GO term set in multiple ways to assist in interpretation: multidimensional scaling and graph-based visualizations accurately render the subdivisions and the semantic relationships in the data, while treemaps and tag clouds are also offered as alternative views. REVIGO is freely available at http://revigo.irb.hr/.
高通量生物实验的结果通常通过统计检验进行解释，这些检验针对的是由基因本体论 (GO) 定义的丰富的基因功能类别。由此产生的 GO 术语列表可能很大且高度冗余，因此难以解释。REVIGO 是一个 Web 服务器，它通过使用一种简单的聚类算法找到术语的代表性子集，从而对长而难以理解的 GO 术语列表进行总结，该算法依赖于语义相似性度量。此外，REVIGO 以多种方式可视化这个非冗余的 GO 术语集，以帮助解释：多维尺度和基于图的可视化准确地呈现数据中的细分和语义关系，而树图和标签云也作为替代视图提供。REVIGO 可免费在 http://revigo.irb.hr/ 获取。
