Hybrid and non hybrid error correction for long reads: LoRDEC and LoRMA - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2016

Hybrid and non hybrid error correction for long reads: LoRDEC and LoRMA

Abstract

Third generation of sequencing technologies yield long but very noisy reads. In this talk, i will present two approaches to correct error in long reads. First, a hybrid correction algorithm and tool, called LoRDEC, which is based on de Bruijn Graph. Then, a self correction method and tool, called LoRMA, that iteratively uses LoRDEC on the long reads to perform local correction, and then applies a multiple alignment procedure to further correct the reads. I will give an overview of the performances of both tools and comment on their ease of use. Work in collaboration with L. Salmela, R. Walve, E. Ukkonen from Helsinki University, and A. Zine El Aabidine from LIRMM.
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Dates and versions

lirmm-01446434 , version 1 (25-01-2017)

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  • HAL Id : lirmm-01446434 , version 1

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Eric Rivals. Hybrid and non hybrid error correction for long reads: LoRDEC and LoRMA. Colib’read workshop, ANR Colib'read, Nov 2016, Paris, France. ⟨lirmm-01446434⟩
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