EDBT 2026 Demo / reviewers in the wild / expert
Fabian Lorenzo-Diaz
dblp:167/1894
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0002-3398-198XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
High-performance computing · 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 › microbial genomics
bacterial genome analysis |
0.2 | 1 | 2015 | IonGAP: integrative bacterial genome analysis for Ion Torrent sequence data · Bioinform. 2015 |
Bioinformatics and computational biology
comparative genomics |
0.1 | 1 | 2015 | IonGAP: integrative bacterial genome analysis for Ion Torrent sequence data · Bioinform. 2015 |
High-performance computing
scientific computing systems |
0.1 | 1 | 2015 | IonGAP: integrative bacterial genome analysis for Ion Torrent sequence data · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
sequence assembly · 0.4genome annotation · 0.4bacterial classification · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | IonGAP: integrative bacterial genome analysis for Ion Torrent sequence dataabstractUNLABELLED: We introduce IonGAP, a publicly available Web platform designed for the analysis of whole bacterial genomes using Ion Torrent sequence data. Besides assembly, it integrates a variety of comparative genomics, annotation and bacterial classification routines, based on the widely used FASTQ, BAM and SRA file formats. Benchmarking with different datasets evidenced that IonGAP is a fast, powerful and simple-to-use bioinformatics tool. By releasing this platform, we aim to translate low-cost bacterial genome analysis for microbiological prevention and control in healthcare, agroalimentary and pharmaceutical industry applications. AVAILABILITY AND IMPLEMENTATION: IonGAP is hosted by the ITER's Teide-HPC supercomputer and is freely available on the Web for non-commercial use at http://iongap.hpc.iter.es. CONTACT: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Adrian Baez-Ortega, Fabian Lorenzo-Diaz, Mariano Hernandez, Carlos Ignacio Gonzalez-Vila, José Luis Roda García, Marcos Colebrook |
Bioinform. | 2 |