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

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Bibliographic Details
Title: PRONAME: a user-friendly pipeline to process long-read nanopore metabarcoding data by generating high-quality consensus sequences.
Authors: Dubois B; Bioengineering Unit, Life Sciences Department, Walloon Agricultural Research Centre, Gembloux, Belgium., Delitte M; Earth and Life Institute - Applied Microbiology, Plant Health, UCLouvain, Louvain-la-Neuve, Belgium., Lengrand S; Earth and Life Institute - Applied Microbiology, Plant Health, UCLouvain, Louvain-la-Neuve, Belgium., Bragard C; Earth and Life Institute - Applied Microbiology, Plant Health, UCLouvain, Louvain-la-Neuve, Belgium., Legrève A; Earth and Life Institute - Applied Microbiology, Plant Health, UCLouvain, Louvain-la-Neuve, Belgium., Debode F; Bioengineering Unit, Life Sciences Department, Walloon Agricultural Research Centre, Gembloux, Belgium.
Source: Frontiers in bioinformatics [Front Bioinform] 2024 Dec 20; Vol. 4, pp. 1483255. Date of Electronic Publication: 2024 Dec 20 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 9918227263306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-7647 (Electronic) Linking ISSN: 26737647 NLM ISO Abbreviation: Front Bioinform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2673-7647
DOI:10.3389/fbinf.2024.1483255