NEWS.md
plotClusters() function now has option for superimposing pairs or whole data using the showPairs parameter.
Our software paper was published in PLoS Computational Biology. In this paper, we describe how our package created independent layers of interactivity using Plotly in R. Pseudocode and source code are provided. Computational scientists can leverage our open-source code to expand upon our layered interactive technology and apply it in new ways toward other computational biology tasks.
Users can now input SummarizedExperiment data type to create any bigPint plot.
Users can now input SummarizedExperiment data type to create any bigPint plot.
Our methodology article was published in BMC Bioinformatics. We used case studies of public RNA-seq datasets to demonstrate that bigPint graphics can detect normalization issues, differential expression designation problems, and common analysis errors. We also show that our new visualization tools can identify genes of interest in ways undetectable with models.
Our research article, which used bigPint graphics to investigate honey bee transcriptomics, was published in BMC Genomics. We used the bigPint package to identify noise and robustness in our data and comparative visualization to assess signal:to:noise ratios between our data and data from previously-published honeybee studies. For users interested in additional applications of the bigPint package, please refer to the paper.
plotClusters() function now has option for superimposing clusters pre-determined from other software.