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.

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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
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article

PRONAME: a user-friendly pipeline to process long-read nanopore metabarcoding data by generating high-quality consensus sequences

Claude Bragard, Anne Legrève, B. Dubois, Mathieu Delitte et al.
12 citations
Frontiers in Bioinformatics
Environmental DNA in Biodiversity Studies
5.51
article

PRONAME: a user-friendly pipeline to process long-read nanopore metabarcoding data by generating high-quality consensus sequences

Claude Bragard, Anne Legrève, B. Dubois, Mathieu Delitte, Frédéric Debode, Salomé Lengrand
article en
12 citations

Abstract

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.

Frontiers in BioinformaticsVol. 4
Walloon Agricultural Research Centre (BE), UCLouvain (BE)
Openalex Percentile: Top 4%
Environmental DNA in Biodiversity Studies
5.51
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