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NanoBlot: An R-Package for Visualization of RNA Isoforms from Long Read RNA-sequencing Data.

Samuel DeMarioKevin XuKevin HeGuillaume F Chanfreau
Published in: RNA (New York, N.Y.) (2023)
RT-PCR and northern blots have long been used to study RNA isoforms usage for single genes. Recently, advancements in long read sequencing have yielded unprecedented information about the usage and abundance of these RNA isoforms. However, visualization of long-read sequencing data remains challenging due to the high information density. To alleviate these issues we have developed NanoBlot, an open-source, R-package, which generates northern blot and RT-PCR-like images from long-read sequencing data. NanoBlot requires aligned, positionally sorted and indexed BAM files. Plotting is based around ggplot2 and is easily customizable. Advantages of nanoblots include: a robust system for designing probes to visualize isoforms including excluding reads based on the presence or absence of a specified region, an elegant solution to representing isoforms with continuous variations in length, and the ability to overlay multiple genes in the same plot using different colors. We present examples of nanoblots compared to actual northern blot data. In addition to traditional gel-like images, the NanoBlot package can also output other visualizations such as violin plots and 3'-RACE-like plots focused on 3'-ends isoforms visualization. The use of the NanoBlot package should provide a simple answer to some of the challenges of visualizing long-read RNA sequencing data.
Keyphrases
  • single cell
  • electronic health record
  • single molecule
  • big data
  • deep learning
  • small molecule
  • genome wide
  • healthcare
  • dna methylation
  • health information