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SEESAW: detecting isoform-level allelic imbalance accounting for inferential uncertainty

Detecting allelic imbalance at the isoform level requires accounting for inferential uncertainty, caused by multi-mapping of RNA-seq reads. Our proposed method, SEESAW, uses Salmon and Swish to offer analysis at various levels of resolution, including gene, isoform, and aggregating isoforms to group...

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Detalles Bibliográficos
Autores principales: Wu, Euphy Y., Singh, Noor P., Choi, Kwangbom, Zakeri, Mohsen, Vincent, Matthew, Churchill, Gary A., Ackert-Bicknell, Cheryl L., Patro, Rob, Love, Michael I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337143/
https://www.ncbi.nlm.nih.gov/pubmed/37438847
http://dx.doi.org/10.1186/s13059-023-03003-x
Descripción
Sumario:Detecting allelic imbalance at the isoform level requires accounting for inferential uncertainty, caused by multi-mapping of RNA-seq reads. Our proposed method, SEESAW, uses Salmon and Swish to offer analysis at various levels of resolution, including gene, isoform, and aggregating isoforms to groups by transcription start site. The aggregation strategies strengthen the signal for transcripts with high uncertainty. The SEESAW suite of methods is shown to have higher power than other allelic imbalance methods when there is isoform-level allelic imbalance. We also introduce a new test for detecting imbalance that varies across a covariate, such as time. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-03003-x.