Author

Carlos Valiente-Mullor

Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat ValencianaORCID 0000-0003-4009-6759Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Fernando Gónzález‐CandelasiD· 2 shared Alejandro Sanz-CarbonelliD· 1 shared Ana C. Almeida-SantosiD· 1 shared Ana R. FreitasiD· 1 shared Beatriz BeamudiD· 1 shared Carla NovaisiD· 1 shared Carlos Francés‐CuestaiD· 1 shared Eva María Gonzalez‐Barberá· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersMicrobiology

Fernando Gónzález‐CandelasORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintJun 2, 2026

Multihospital expansion of vancomycin-resistant Enterococcus faecium ST117-CT7799 and transmission of linear plasmids co-carrying vanA and linezolid resistance genes, Comunitat Valenciana, Spain (2022-2024)

Carlos Valiente-Mullor, Lidia Ruiz‐Roldán, Ana C. Almeida-Santos…·Fernando Gónzález‐Candelas

The paper characterizes the spread and resistance mechanisms of vancomycin-resistant Enterococcus faecium in Spanish hospitals, identifying a dominant lineage and plasmid-mediated resistance gene transmission.

DOI 10.64898/2026.06.01.729239

humanwhole-genome sequencing

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GenomicsPLoS Computational BiologyPeer-reviewedJan 27, 2021

One is not enough: on the effects of reference genome for the mapping and subsequent analyses of short-reads

Carlos Valiente-Mullor, Beatriz Beamud, Iván Ansari…·Fernando Gónzález‐Candelas

This paper evaluates how choosing different reference genomes affects short-read mapping and subsequent analyses in five bacterial species, finding significant biases in SNP calling, recombination rates, and phylogenetic trees.

116 citationstop 3%

bacteria (other)whole-genome sequencing

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