Unlock your biological data
RNA-seq and other forms of gene expression profiling such as CAGE are widely used for measuring RNA abundance profiles of various primary cells and cell lines. By comparing the transcript abundance between two states, genes with statistically significant differences in expression levels can be identified. In addition to large-scale, landscape-type analysis of such differentially expressed genes, often leading to long lists of Gene Ontology terms, it is often desired to perform an interactive visual analysis of the results, focusing on comparatively few genes of interest, heavily dependent on the problem domain.
(Harshbarger., 2017) DEIVA: a web application for interactive visual analysis of differential gene expression profiles. BMC Genomics.