RNA-Seq data analytics remains a challenging domain. SeqCVIBE, a new web application for the interactive exploration, analysis and visualization of RNA-Seq data by the Moulos lab contributes to the deconvolution of the domain complexity.
Modern gene expression profiling techniques generate a wealth of high-quality datasets with expanding applications, creating novel challenges for data management, exploration, analysis, and visualization. Although many RNA-Seq data analysis tools have emerged, open-source and commercial, most fail to simultaneously address the above challenges, while they lack obvious functionalities, such as estimating RNA abundance over non-annotated genomic regions of interest in real time.
SeqCVIBE is a web application for the interactive exploration, analysis, visualization, and genome browsing of large RNA-Seq datasets. SeqCVIBE allows for multiple on-the-fly visualizations and calculations, such as differential expression analysis, averaging genomic signals over genomic regions and calculating RNA abundances over custom regions, such as novel long non-coding RNAs. In addition, SeqCVIBE comprises a database for pre-analyzed data, where users can navigate and explore results and perform a variety of basic on-the-fly analyses. SeqCVIBE can be used in a variety of domains such as basic research, clinical genomics and education.