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Miguel Arenas
PeerJ Author & Reviewer
270 Points

Contributions by role

Author 135
Preprint Author 35
Reviewer 100

Contributions by subject area

Bioinformatics
Biophysics
Computational Biology
Evolutionary Studies
Genomics
Molecular Biology
Genetics
Virology
Epidemiology
Global Health
Infectious Diseases

Miguel Arenas

PeerJ Author & Reviewer

Summary

I am interested in Bioinformatics applied to the Evolutionary and Genetic Analysis at the Molecular and Population levels.
My areas of research include Population Genetics, Genetic Diversity, Molecular Evolution, Molecular Adaptation, Phylogenetics and Phylogenomics. Indeed, I am also interested in the study of the influence of evolution on the structure and function of biological macromolecules.

Bioinformatics Computational Biology Evolutionary Studies Genetics Genomics

Past or current institution affiliations

Universidad de Vigo

Work details

Principal Investigator

University of Vigo
May 2017
Biochemistry, Genetics and Immunology

Websites

  • Miguel Arenas

PeerJ Contributions

  • Articles 1
  • Preprints 1
  • Reviewed 2
October 5, 2018
Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution
María José Jiménez-Santos, Miguel Arenas, Ugo Bastolla
https://doi.org/10.7717/peerj.5549 PubMed 30310736
April 18, 2018 - Version: 1
Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution
María José Jiménez-Santos, Miguel Arenas, Ugo Bastolla
https://doi.org/10.7287/peerj.preprints.26868v1

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

August 8, 2023
Data-specific substitution models improve protein-based phylogenetics
João M. Brazão, Peter G. Foster, Cymon J. Cox
https://doi.org/10.7717/peerj.15716 PubMed 37576497
July 24, 2018
Imputing missing distances in molecular phylogenetics
Xuhua Xia
https://doi.org/10.7717/peerj.5321 PubMed 30065887