Simulation of RNA sequencIng with Oxford Nanopore Technologies

Camille Marchet 1 Leandro Lima 2
1 GenScale - Scalable, Optimized and Parallel Algorithms for Genomics
Inria Rennes – Bretagne Atlantique , IRISA_D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : Background Oxford Nanopore Technologies (ONT) platforms produce reads order of magnitudes longer than previous generation of sequencers such as Illumina (several tens to thousands of base pairs). The unprecedented long range information these reads provide is currently used to better solve genomic assembly. However, these sequences suffer from high error rates (com-monly above 10%) and complex error profiles: insertions and deletions are more common than in short reads and homopolymer regions are plagued by non stochastic errors due to the difficulty to estimate their length using ONT technology.
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Camille Marchet, Leandro Lima. Simulation of RNA sequencIng with Oxford Nanopore Technologies. JOBIM 2018 - Journées Ouvertes Biologie, Informatique et Mathématiques, Jul 2018, Marseille, France. pp.1-2. ⟨hal-01929917⟩

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