BioinformaticsBioinformaticsPeer-reviewed journal article
cloudrnaSPAdes: Isoform assembly using bulk barcoded RNA sequencing data
Dmitry MeleshkoiD, Andrey D. Prjbelski, Mikhail Raiko, Alexandru Ioan TomescuiD, Hagen TilgneriD, Iman HajirasoulihaiD
Abstract
MotivationRecent advancements in long-read RNA sequencing have enabled the examination of full-length isoforms, previously uncaptured by short-read sequencing methods. An alternative powerful method for studying isoforms is through the use of barcoded short-read RNA reads, for which a barcode indicates whether two short-reads arise from the same molecule or not. Such techniques included the 10x Genomics linked-read based SParse Isoform Sequencing (SPIso-seq), as well as Loop-Seq, or Tell-Seq. Some applications, such as novel-isoform discovery, require very high coverage. Obtaining high coverage using long reads can be difficult, making barcoded RNA-seq data a valuable alternative for this task. However, most annotation pipelines are not able to work with a set of short reads instead of a single transcript, also not able to work with coverage gaps within a molecule if any. In order to overcome this challenge, we present an RNA-seq assembler allowing the determination of the expressed isoform per barcode. ResultsIn this paper, we present cloudrnaSPAdes, a tool for assembling full-length isoforms from barcoded RNA-seq linked-read data in a reference-free fashion. Evaluating it on simulated and real human data, we found that cloudrnaSPAdes accurately assembles isoforms, even for genes with high isoform diversity. AvailabilitycloudrnaSPAdes is a feature release of a SPAdes assembler and available at https://cab.spbu.ru/software/cloudrnaspades/. Contactdmm2017@med.cornell.edu
- organism: human
- assay: bulk RNA-seq
- assay: long-read sequencing
- research focus: gene regulatory network inference
- approach: statistical model
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