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Ulysse Guyet

dblp:291/1671 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-3603-5382ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › metagenomics › amplicon sequencing
amplicon sequencing analysis
0.912025
NanoASV: a snakemake workflow for reproducible field-based Nanopore full-length 16S metabarcoding amplicon data analysis · Bioinform. 2025
Bioinformatics and computational biology
metagenomics
0.912025
NanoASV: a snakemake workflow for reproducible field-based Nanopore full-length 16S metabarcoding amplicon data analysis · Bioinform. 2025
Bioinformatics and computational biology › sequence analysis
nanopore sequencing
0.312025
NanoASV: a snakemake workflow for reproducible field-based Nanopore full-length 16S metabarcoding amplicon data analysis · Bioinform. 2025

Methods — techniques the papers use, named apart from their topics

snakemake workflow · 0.9conda environment · 0.9
YearPublicationVenuePosition
2025 NanoASV: a snakemake workflow for reproducible field-based Nanopore full-length 16S metabarcoding amplicon data analysis
abstract
SUMMARY: NanoASV is a conda environment and snakemake-based workflow using state-of-the-art bioinformatics software to process full-length SSU rRNA (16S/18S) amplicons acquired with Oxford Nanopore Sequencing technology. Its strength lies in reproducibility, portability, and the possibility to run offline, allowing in-field analysis. It can be installed on the Nanopore MK1C sequencing device and process data locally. AVAILABILITY AND IMPLEMENTATION: Source code and documentation are freely available at https://github.com/ImagoXV/NanoASV and Zenodo archive at https://doi.org/10.5281/zenodo.14730742.
Arthur Cousson, Frédéric Mahé, Ulysse Guyet, Damase Razafimahafaly, Laetitia Bernard
Bioinform.3