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bioRxiv · 10.1101/2020.06.09.143024

Swan: a library for the analysis and visualization of long-read transcriptomes

Reese, F.·Mortazavi, A.
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Abstract

MotivationLong-read RNA-sequencing technologies such as PacBio and Oxford Nanopore have discovered an explosion of new transcript isoforms that are difficult to visually analyze using currently available tools. We introduce the Swan Python library, which is designed to analyze and visualize transcript models. ResultsSwan finds 4,909 differentially expressed transcripts between cell lines HepG2 and HFFc6, including 279 that are differentially expressed even though the parent gene is not. Additionally, Swan discovers 1,021 reproducible exon skipping and 73 intron retention events not recorded in the GENCODE v29 annotation. AvailabilityThe Swan library for Python 3 is available on PyPi and on GitHub at https://pypi.org/project/swan-vis/1.0/ and https://github.com/mortazavilab/swan_paper.

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Reese, F., Mortazavi, A.. 2020-06-10. Swan: a library for the analysis and visualization of long-read transcriptomes. https://doi.org/10.1101/2020.06.09.143024

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