2021
DOI: 10.1101/2021.11.03.467086
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RNA splicing analysis using heterogeneous and large RNA-seq datasets

Abstract: The ubiquity of RNA-seq has led to many methods that use RNA-seq data to analyze variations in RNA splicing. However, available methods are not well suited for handling heterogeneous and large datasets. Such datasets scale to thousands of samples across dozens of experimental conditions, exhibit increased variability compared to biological replicates, and involve thousands of unannotated splice variants resulting in increased transcriptome complexity. We describe here a suite of algorithms and tools implemente… Show more

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Cited by 5 publications
(8 citation statements)
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“…A proposed molecular mechanism of disease in ALS motor neurons is dysregulated alternative splicing, which may contribute to genomic instability underlying DNA damage response activation 32,33 . To identify alternative splicing changes in ALS iPSNs, we utilised the splice graph tool MAJIQ 34,35 , which quantifies local splicing variations from large heterogeneous RNA-seq datasets and corrects for dataset batch effects (Fig. 4a) 36 .…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…A proposed molecular mechanism of disease in ALS motor neurons is dysregulated alternative splicing, which may contribute to genomic instability underlying DNA damage response activation 32,33 . To identify alternative splicing changes in ALS iPSNs, we utilised the splice graph tool MAJIQ 34,35 , which quantifies local splicing variations from large heterogeneous RNA-seq datasets and corrects for dataset batch effects (Fig. 4a) 36 .…”
Section: Resultsmentioning
confidence: 99%
“… a , Schematic of the steps in splicing analysis of ALS and control iPSNs with MAJIQ 35 . b , Differential alternative splicing in poly(A) selected ALS versus control iPSNs.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Splicing analysis was performed using the MAJIQ Quantifier followed by the MAJIQ Builder to determine differentially spliced genes ( Vaquero-Garcia et al, 2016 ), and visualized using the MAJIQ Voila Viewer with a Δψ threshold of 0.1 and significance of 0.05. Splice variant classification analysis was performed using the MAJIQ classifier ( Vaquero-Garcia et al, 2021 ) with permission and assistance from Dr. Yoseph Barash.…”
Section: Methodsmentioning
confidence: 99%
“…Splicing analysis was performed using the MAJIQ Quantifier followed by the MAJIQ Builder to determine differentially spliced genes (Vaquero-Garcia et al, 2016), and visualized using the MAJIQ Voila Viewer with a Dy threshold of 0.1 and significance of 0.05. Splice variant classification analysis was performed using the MAJIQ classifier (Vaquero-Garcia et al, 2021) with permission and assistance from Dr. Yoseph Barash.…”
Section: Rna-sequencing Analysismentioning
confidence: 99%