Author

Carlos J. Rivera-Rivera

University of BristolORCID 0000-0002-3996-8647Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:comparative / phylogenetic analysis· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:phylogenetics / evolution· 1 Organism:rat· 1 Approach:statistical model· 1

Frequent Co-Authors

Davide PisaniiD· 1 shared Juan I. Montoya‐BurgosiD· 1 shared Roberto FeudaiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

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1 shared paperEvolutionary Biology

Davide PisaniORCID

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintJun 4, 2025

Molecular characterisation of neurons across animals identifies conserved gene expression.

Carlos J. Rivera-Rivera, Roberto Feuda, Davide Pisani

The paper identifies 39 gene families consistently expressed in neurons across eight animal species and finds one unique family linked to nervous systems.

DOI 10.1101/2025.06.04.657789

humanmouse

𝕏 PostBluesky

BioinformaticsBMC BioinformaticsPeer-reviewedAug 13, 2019

LSX: Automated reduction of gene-specific lineage evolutionary rate heterogeneity for multi-gene phylogeny inference

Carlos J. Rivera-Rivera, Juan I. Montoya‐Burgos

LSX improves upon LS3 by providing a multi-platform tool for reducing lineage evolutionary rate heterogeneity in multi-gene phylogeny inference.

3 citations

statistical modelphylogenetics / evolution

𝕏 PostBluesky