The ENCODE consortium has recently published a great paper on Gene Expression from the GTEx dataset. A criticism raised on pubpeer is that the gene ontology enrichment analysis was done with DAVID which has not been updated in the last five years.
The result is shown below:
This is a feature request from clusterProfiler user. It’s similar to what I implemented in clusterProfiler for comparing biological themes. For comparing different enrichment results, the x-axis represent different gene clusters while for a single enrichment result, the x-axis can be gene count or gene ratio. This is actually similar to traditional barplot, with dot position as bar height and dot color as bar color. But dotplot can represent one more feature nicely by dot size and it can be a good alternative to barplot.
GOSemSim was first implemented in 2008 and published in Bioinformatics in 2010. It’s now a mature package with no bugs found in the past half year. Only vignette and Information content data were updated.
Disease Ontology (DO) provides an open source ontology for the integration of biomedical data that is associated with human disease. DO analysis can lead to interesting discoveries that deserve further clinical investigation.
DOSE was designed for semantic similarity measure and enrichment analysis.
Four information content (IC)-based methods, proposed by Resnik, Jiang, Lin and Schlicker, and one graph structure-based method, proposed by Wang, were implemented. The calculation details can be referred to the vignette of R package GOSemSim.
