Developing interactive apps for genomics data analysis with Shiny - Beatriz Campillo Minano скачать в хорошем качестве

Developing interactive apps for genomics data analysis with Shiny - Beatriz Campillo Minano

The eukaryotic genome can produce shifts in the type of mRNA isoforms produced during transcription and splicing in response to different conditions or over time. Differential transcript usage (DTU) can be detected from RNA sequencing, but the complexity of these changes makes it difficult to present in an easily understandable format. We have developed a Shiny app and workflow for the comprehensive analysis and interpretation of DTU results. These tools integrate with the tidyomics ecosystem in Bioconductor thus they are easily extensible for addressing custom scientific questions. The app allows users to visualize and interpret DTU results at both the isoform and exon levels. It features interactive interfaces to easily navigate isoform-level results in tabular form, select specific genes for detailed visualization of isoforms and their exons, and assess mean expression-level differences across groups. The workflow also demonstrates extracting and manipulating RNA sequence features surrounding relevant splice events, facilitating sequence-to-function prediction. It is designed to be user-friendly to ensure accessibility for all researchers, including those without programming expertise.