EDBT 2026 Demo / reviewers in the wild / expert
Massimiliano S. Tagliamonte
dblp:249/0434
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
—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 › genomics › viral genomics
genomic surveillance |
1.0 | 1 | 2026 | CholeraSeq: a comprehensive genomic pipeline for cholera surveillance and near real-time outbreak investigation · Bioinform. 2026 |
Bioinformatics and computational biology › phylogenetics
phylogenetic inference |
1.0 | 1 | 2026 | CholeraSeq: a comprehensive genomic pipeline for cholera surveillance and near real-time outbreak investigation · Bioinform. 2026 |
Bioinformatics and computational biology › genomics
variant calling |
0.3 | 1 | 2026 | CholeraSeq: a comprehensive genomic pipeline for cholera surveillance and near real-time outbreak investigation · Bioinform. 2026 |
Methods — techniques the papers use, named apart from their topics
reference mapping · 1.0recombination screening · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | CholeraSeq: a comprehensive genomic pipeline for cholera surveillance and near real-time outbreak investigationabstractSUMMARY: Next Generation Sequencing is widely deployed in cholera-endemic regions, yet an end-to-end reproducible pipeline that unifies read QC, filtering, reference mapping, variant calling/annotation, recombination screening, and extraction of parsimony informative sites/variant codons, phylogenetic inference for downstream phylodynamic and epidemiological analyses have been lacking, slowing outbreak investigation and public health response. CholeraSeq is a high-throughput genomics pipeline for cholera genomic surveillance. It ingests consensus genomes, short read sequence data, draft assemblies, and scales seamlessly from local to cloud environments. To accelerate epidemiological context placement of new outbreak strains, we provide a curated ready-to-use core genome alignment compiled from public data, enabling flexible, fast, integration of new samples for outbreak investigations. AVAILABILITY AND IMPLEMENTATION: CholeraSeq is freely available on the GitHub platform https://github.com/CERI-KRISP/CholeraSeq. CholeraSeq is implemented in Nextflow with a modular design building upon the nf-core community standards. Massimiliano S. Tagliamonte, Alberto Riva, Monika Moir, Marco Salemi, Cheryl Baxter, Tulio de Oliveira, Carla Mavian, Eduan Wilkinson |
Bioinform. | 1 |