activity
20122026
most citedIntraspecific Comparative Genomics of Candida albicans Mitochondria Reveals Non-Coding Regions Under Neutral Evolution

27 citations · 76 across the 10 of their papers we have counts for

collaborators

10 papers

q-bio.GN2026

Hepatitis C Virus Genotyping with a Transformer Neural Network

Ariella Aro, Taimá Furuyama, Marcelo R. S. Briones +3

This study aims to explore the applicability of Transformer-based models for genetic sequence classification by evaluating their performance in predicting hepatitis C virus (HCV) g…

q-bio.PE2020★ 3 cited

Temporal data series of COVID-19 epidemics in the USA, Asia and Europe suggests a selective sweep of SARS-CoV-2 Spike D614G variant

Taima N. Furuyama, Fernando Antoneli, Isabel M. V. G. Carvalho +2

The COVID-19 pandemic started in Wuhan, China, and caused the worldwide spread of the RNA virus SARS-CoV-2, the causative agent of COVID-19. Because of its mutational rate, wide ge…

q-bio.QM2015★ 21 cited

A Kolmogorov-Smirnov test for the molecular clock on Bayesian ensembles of phylogenies

Fernando Antoneli, Fernando Marcon, Luciano R. Lopes +1

Divergence date estimates are central to understand evolutionary processes and depend, in the case of molecular phylogenies, on tests of molecular clocks. Here we propose two non-p…

q-bio.PE2014

PGA: A Program for Genome Annotation by Comparative Analysis of Maximum Likelihood Phylogenies of Genes and Species

Paulo Bandiera-Paiva, Marcelo R. S. Briones

The Phylogenetic Genome Annotator (PGA) is a computer program that enables real-time comparison of 'gene trees' versus 'species trees' obtained from predicted open reading frames o…

q-bio.PE2014

G-protein coupled receptor subfamily identification using phylogenetic comparison of gene and species trees

Paulo Bandiera-Paiva, Jackson C. Lima, Marcelo R. S. Briones

Most approaches to prediction of protein function from primary structure are based on similarity between the query sequence and sequences of known function. This approach, however,…

q-bio.MN2013★ 9 cited

A Model of Gene Expression Based on Random Dynamical Systems Reveals Modularity Properties of Gene Regulatory Networks

Fernando Antoneli, Renata C. Ferreira, Marcelo R. S. Briones

Here we propose a new approach to modeling gene expression based on the theory of random dynamical systems (RDS) that provides a general coupling prescription between the nodes of…