Demo Data from EDBT 2026 / reviewers in the wild / expert
Candace Guzman-Cole
dblp:426/1067
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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 |
0.9 | 1 | 2025 | nf-UnO pipeline: A metagenomic co-assembly pipeline for novel pathogen detection from mNGS outbreak sets · Bioinform. 2025 |
Bioinformatics and computational biology › metagenomics
metagenomic assembly |
0.9 | 1 | 2025 | nf-UnO pipeline: A metagenomic co-assembly pipeline for novel pathogen detection from mNGS outbreak sets · Bioinform. 2025 |
Bioinformatics and computational biology › metagenomics
pathogen detection |
0.9 | 1 | 2025 | nf-UnO pipeline: A metagenomic co-assembly pipeline for novel pathogen detection from mNGS outbreak sets · Bioinform. 2025 |
Methods — techniques the papers use, named apart from their topics
read mapping · 0.9metagenomic co-assembly · 0.9binning · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | nf-UnO pipeline: A metagenomic co-assembly pipeline for novel pathogen detection from mNGS outbreak setsabstractSUMMARY: nf-UnO is a pipeline implemented in Nextflow to identify novel pathogens from metagenomic shotgun sequencing of epidemiologically related foodborne outbreak specimens. nf-UnO uses MIDAS2, metagenomic co-assembly, multiple binning programs, and read mapping to metagenomically assembled genomes to detect potential etiological agents found in common across outbreak specimens. AVAILABILITY AND IMPLEMENTATION: https://github.com/uel3/nf-UnO. Candace Guzman-Cole, Andrew D. Huang |
Bioinform. | 1 |