Reference-free reconstruction and quantification of transcriptomes from long-read sequencing

de la Rubia, I.; Indi, J. A.; Carbonell, S.; Lagarde, J.; Alba, M. M.; Eyras, E.

doi:10.1101/2020.02.08.939942

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bioRxiv · 10.1101/2020.02.08.939942

Reference-free reconstruction and quantification of transcriptomes from long-read sequencing

de la Rubia, I.·Indi, J. A.·Carbonell, S.·Lagarde, J.·Alba, M. M.·Eyras, E.

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Abstract

Nanopore sequencing enables the efficient and unbiased measurement of transcriptomes from any sample. However, current methods for transcript identification and quantification rely of mapping reads to a reference genome, which precludes the study of species with a partial or missing reference or the identification of disease-specific transcripts not readily identifiable from a reference. Here we present RATTLE, a tool to perform reference-free reconstruction and quantification of transcripts using only Nanopore reads. Using simulated data and experimental data from isoform spike-ins, human tissues, and cell lines, we show that RATTLE accurately determines transcript sequences and their abundances, and shows good scalability with the number of transcripts. RATTLE provides unprecedented access to transcriptomes from any sample and species without relying on a reference or additional technologies.

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de la Rubia, I., Indi, J. A., Carbonell, S., Lagarde, J., Alba, M. M., Eyras, E.. 2020-02-09. Reference-free reconstruction and quantification of transcriptomes from long-read sequencing. https://doi.org/10.1101/2020.02.08.939942

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