Author

L. Aristide

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:multiple species· 2 Research Focus:phylogenetics / evolution· 2 Assay:bulk RNA-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Organism:human· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

C. Simon Guerrero· 2 shared G. I. Martinez-Redondo· 2 shared P. Balart-Garcia· 2 shared R. Fernandez· 2 shared V. Tonzo· 2 shared C. Vargas-Chavez· 1 shared E. Lewitus· 1 shared H. Morlon· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersEvolutionary Biology

C. Simon Guerrero

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3 papers

Recent·Most cited

Parallel duplication and loss of aquaporin-coding genes during the 'out of the sea' transition paved the way for animal terrestrialization

G. I. Martinez-Redondo, C. Simon Guerrero, L. Aristide, P. Balart-Garcia, V. Tonzo, R. Fernandez

The paper examines aquaporin gene evolution across terrestrial and aquatic species, finding parallel duplications and losses linked to terrestrialization.

bioRxiv · Jul 25, 2022Evolutionary Biology

MATEdb, a data repository of high-quality metazoan transcriptome assemblies to accelerate phylogenomic studies

R. Fernandez, V. Tonzo, C. Simon Guerrero, J. Lozano-Fernandez, G. I. Martinez-Redondo, P. Balart-Garcia, L. Aristide, K. Eleftheriadi, C. Vargas-Chavez

MATEdb provides a curated database of high-quality transcriptome assemblies from metazoan species to improve phylogenomic studies by standardizing analysis pipelines and reducing computational costs.

bioRxiv · Jul 18, 2022Evolutionary Biology

Characterizing and comparing phylogenetic trait data from their normalized Laplacian spectrum

E. Lewitus, L. Aristide, H. Morlon

This paper introduces a non-parametric framework for analyzing phylogenetic trait data using the normalized Laplacian spectrum to cluster and characterize phenotypic patterns.

bioRxiv · May 31, 2019Evolutionary Biology