Slinker: Visualising novel splicing events in RNA-Seq data
        - Author(s)
 - Schmidt, B; Cmero, M; Ekert, P; Davidson, N; Oshlack, A;
 - Journal Title
 - F1000Research
 - Abstract
 - Visualisation of the transcriptome relative to a reference genome is fraught with sparsity. This is due to RNA sequencing (RNA-Seq) reads being predominantly mapped to exons that account for just under 3% of the human genome. Recently, we have used exon-only references, superTranscripts, to improve visualisation of aligned RNA-Seq data through the omission of supposedly unexpressed regions such as introns. However, variation within these regions can lead to novel splicing events that may drive a pathogenic phenotype. In these cases, the loss of information in only retaining annotated exons presents significant drawbacks. Here we present Slinker, a bioinformatics pipeline written in Python and Bpipe that uses a data-driven approach to assemble sample-specific superTranscripts. At its core, Slinker uses Stringtie2 to assemble transcripts with any sequence across any gene. This assembly is merged with reference transcripts, converted to a superTranscript, of which rich visualisations are made through Plotly with associated annotation and coverage information. Slinker was validated on five novel splicing events of rare disease samples from a cohort of primary muscular disorders. In addition, Slinker was shown to be effective in visualising deletion events within transcriptomes of tumour samples in the important leukemia gene, IKZF1. Slinker offers a succinct visualisation of RNA-Seq alignments across typically sparse regions and is freely available on Github.
 - Publisher
 - F1000
 - Keywords
 - Exons/genetics; Humans; *rna; *RNA Splicing/genetics; RNA-Seq; Sequence Analysis, RNA; *Novel Splicing Events; *RNA-Seq; *Visualisation; *bioinformatics; *superTranscripts
 - Research Division(s)
 - Advanced Technology And Biology; Blood Cells And Blood Cancer
 - PubMed ID
 - 35035899
 - Publisher's Version
 - https://doi.org/10.12688/f1000research.74836.1
 - Terms of Use/Rights Notice
 - Refer to copyright notice on published article.
 
                    Creation Date: 2022-02-07 10:12:24
                    Last Modified: 2022-02-08 02:18:05