PRONAME: a user-friendly pipeline to process long-read nanopore metabarcoding data by generating high-quality consensus sequences
PRONAME meets the challenges of long-read Nanopore data processing, offering greater accuracy and versatility than existing pipelines. By integrating Nanopore-specific quality filtering, clustering and error correction, PRONAME produces high-precision consensus sequences. This brings the accuracy of Nanopore sequencing close to that of Illumina sequencing, while taking advantage of the benefits of long-read technologies.
Authors
- Claude Bragard (ORCID: https://orcid.org/0000-0003-3169-1716)
- Anne Legrève (ORCID: https://orcid.org/0000-0002-7795-4510)
- B. Dubois (ORCID: https://orcid.org/0000-0001-7891-0272)
- Mathieu Delitte
- Frédéric Debode (ORCID: https://orcid.org/0000-0001-8733-4465)
- Salomé Lengrand
Institutions
- Walloon Agricultural Research Centre (BE)
- UCLouvain (BE)
Publication Details
- Journal
- Frontiers in Bioinformatics
- Published
- 2024-12-20
- DOI
- https://doi.org/10.3389/fbinf.2024.1483255
- Citations
- 12
- Primary Topic
- Environmental DNA in Biodiversity Studies
- Type
- article
- Field-Weighted Citation Impact
- 5.51