Demo Data from VLDB 2026 / reviewers in the wild / expert
Damase Razafimahafaly
dblp:425/3572
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › metagenomics › amplicon sequencing
amplicon sequencing analysis |
0.9 | 1 | 2025 | NanoASV: a snakemake workflow for reproducible field-based Nanopore full-length 16S metabarcoding amplicon data analysis · Bioinform. 2025 |
Bioinformatics and computational biology
metagenomics |
0.9 | 1 | 2025 | 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 |
0.3 | 1 | 2025 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | NanoASV: a snakemake workflow for reproducible field-based Nanopore full-length 16S metabarcoding amplicon data analysisabstractSUMMARY: 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. | 4 |