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Fernando de la Cruz

dblp:20/5037 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
comparative genomics
0.312017
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
0.312017
PLACNETw: a web-based tool for plasmid reconstruction from bacterial genomes · Bioinform. 2017
Bioinformatics and computational biology › network bioinformatics › biological network analysis
network analysis
0.312017
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
0.312017
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
0.312017
PLACNETw: a web-based tool for plasmid reconstruction from bacterial genomes · Bioinform. 2017
Bioinformatics and computational biology › sequence analysis › sequence assembly
scaffold graph analysis
0.312017
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
YearPublicationVenuePosition
2021 COPLA, a taxonomic classifier of plasmids
abstract
BACKGROUND: 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 networks
abstract
AcCNET (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 genomes
abstract
SUMMARY: 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