Arnaud Lefebvre

CONSENT corrects long reads using multiple sequence alignment and de Bruijn graphs, outperforming existing methods on Oxford Nanopore data and enabling efficient processing of ultra-long reads.

This paper surveys and benchmarks long-read error correction tools, evaluating their performance across various datasets and error characteristics.

ELECTOR evaluates long reads correction methods by providing efficient and comprehensive metrics to assess quality improvements.

This paper introduces HG-CoLoR, a method to correct noisy Oxford Nanopore long reads using a variable-order de Bruijn graph, achieving high-quality correction with efficient runtime.