Demo Data from EDBT 2026 / reviewers in the wild / expert
Fernando de la Cruz
dblp:20/5037
· DBLP profile ↗
3ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 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
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
comparative genomics |
0.3 | 1 | 2017 | AcCNET (Accessory Genome Constellation Network): comparative genomics software for accessory genome analysis using bipartite networks · Bioinform. 2017 |
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly |
0.3 | 1 | 2017 | PLACNETw: a web-based tool for plasmid reconstruction from bacterial genomes · Bioinform. 2017 |
Bioinformatics and computational biology › network bioinformatics › biological network analysis
network analysis |
0.3 | 1 | 2017 | AcCNET (Accessory Genome Constellation Network): comparative genomics software for accessory genome analysis using bipartite networks · Bioinform. 2017 |
Bioinformatics and computational biology › comparative genomics › pangenomics
pan-genome analysis |
0.3 | 1 | 2017 | AcCNET (Accessory Genome Constellation Network): comparative genomics software for accessory genome analysis using bipartite networks · Bioinform. 2017 |
Bioinformatics and computational biology › sequence analysis › sequence assembly
plasmid reconstruction |
0.3 | 1 | 2017 | PLACNETw: a web-based tool for plasmid reconstruction from bacterial genomes · Bioinform. 2017 |
Bioinformatics and computational biology › sequence analysis › sequence assembly
scaffold graph analysis |
0.3 | 1 | 2017 | PLACNETw: a web-based tool for plasmid reconstruction from bacterial genomes · Bioinform. 2017 |
Methods — techniques the papers use, named apart from their topics
graph pruning · 0.3bipartite network analysis · 0.3BLAST · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | COPLA, a taxonomic classifier of plasmidsabstractBACKGROUND: Plasmids are mobile genetic elements, key in the dissemination of antibiotic resistance, virulence determinants and other adaptive traits in bacteria. Obtaining a robust method for plasmid classification is necessary to better understand the genetics and epidemiology of many pathogens. Until now, plasmid classification systems focused on specific traits, which limited their precision and universality. The definition of plasmid taxonomic units (PTUs), based on average nucleotide identity metrics, allows the generation of a universal plasmid classification scheme, applicable to all bacterial taxa. Here we present COPLA, a software able to assign plasmids to known and novel PTUs, based on their genomic sequence. RESULTS: We implemented an automated pipeline able to assign a given plasmid DNA sequence to its cognate PTU, and assessed its performance using a sample of 1000 unclassified plasmids. Overall, 41% of the samples could be assigned to a previously defined PTU, a number that reached 63% in well-known taxa such as the Enterobacterales order. The remaining plasmids represent novel PTUs, indicating that a large fraction of plasmid backbones is still uncharacterized. CONCLUSIONS: COPLA is a bioinformatic tool for universal, species-independent, plasmid classification. Offered both as an automatable pipeline and an open web service, COPLA will help bacterial geneticists and clinical microbiologists to quickly classify plasmids. Santiago Redondo-Salvo, Roger Bartomeus-Peñalver, Luis Vielva, Kaitlin A. Tagg, Hattie E. Webb, Raúl Fernández-López, Fernando de la Cruz |
BMC Bioinform. | 7 |
| 2017 | AcCNET (Accessory Genome Constellation Network): comparative genomics software for accessory genome analysis using bipartite networksabstractAcCNET (Accessory genome Constellation Network) is a Perl application that aims to compare accessory genomes of a large number of genomic units, both at qualitative and quantitative levels. Using the proteomes extracted from the analysed genomes, AcCNET creates a bipartite network compatible with standard network analysis platforms. AcCNET allows merging phylogenetic and functional information about the concerned genomes, thus improving the capability of current methods of network analysis. The AcCNET bipartite network opens a new perspective to explore the pangenome of bacterial species, focusing on the accessory genome behind the idiosyncrasy of a particular strain and/or population. AVAILABILITY AND IMPLEMENTATION: AcCNET is available under GNU General Public License version 3.0 (GPLv3) from http://sourceforge.net/projects/accnet CONTACT: : [email protected] information: Supplementary data are available at Bioinformatics online. Val F. Lanza, Fernando Baquero, Fernando de la Cruz, Teresa M. Coque |
Bioinform. | 3 |
| 2017 | PLACNETw: a web-based tool for plasmid reconstruction from bacterial genomesabstractSUMMARY: PLACNET is a graph-based tool for reconstruction of plasmids from next generation sequence pair-end datasets. PLACNET graphs contain two types of nodes (assembled contigs and reference genomes) and two types of edges (scaffold links and homology to references). Manual pruning of the graphs is a necessary requirement in PLACNET, but this is difficult for users without solid bioinformatic background. PLACNETw, a webtool based on PLACNET, provides an interactive graphic interface, automates BLAST searches, and extracts the relevant information for decision making. It allows a user with domain expertise to visualize the scaffold graphs and related information of contigs as well as reference sequences, so that the pruning operations can be done interactively from a personal computer without the need for additional tools. After successful pruning, each plasmid becomes a separate connected component subgraph. The resulting data are automatically downloaded by the user. AVAILABILITY AND IMPLEMENTATION: PLACNETw is freely available at https://castillo.dicom.unican.es/upload/. CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: A tutorial video and several solved examples are available at https://castillo.dicom.unican.es/placnetw_video/ and https://castillo.dicom.unican.es/examples/. Luis Vielva, María de Toro, Val F. Lanza, Fernando de la Cruz |
Bioinform. | 4 |