Section: New Results

Benchmarks and Reviews

Evaluation of error correction tools for long Reads

Participants : Lolita Lecompte, Camille Marchet, Pierre Peterlongo.

Long read technologies, Pacific Biosciences and Oxford Nanopore, have high error rates (from 9% to 30%). Hence, numerous error correction methods have been recently proposed, each based on different approaches and, thus, providing different results. As this is important to assess the correction stage for downstream analyses, we designed the ELECTOR software, providing evaluation of long read correction methods. This software generates additional quality metrics compared to previous existing tools. It also scales to very long reads and large datasets and is compatible with a wide range of state-of-the-art error correction tools.

ELECTOR is freely available at https://github.com/kamimrcht/ELECTOR. It as been presented during the Jobim2018 conference [32]

Computational pan-genomics: status, promises and challenges

Participant : Pierre Peterlongo.

We took part to the redaction of the review paper that proposes a state of the art of the pan-genomics current status, methods and future orientations. This paper has been published in Briefings in Bioinformatics [18].