Author

P. A. G. Ferrareze

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· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Organism:fungi (other)· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

C. E. Thompson· 2 shared G. D. Caldana· 2 shared V. B. Franceschi· 2 shared A. d. M. Mayer· 1 shared C. A. Cuomo· 1 shared C. C. Staats· 1 shared C. Maufrais· 1 shared G. Janbon· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersEvolutionary Biology

C. E. Thompson

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Author profile →

3 papers

Recent·Most cited

Evolutionary BiologybioRxivJul 16, 2021

Molecular evolution and structural analyses of the spike glycoprotein from Brazilian SARS-CoV-2 genomes: the impact of the fixation of selected mutations

P. A. G. Ferrareze, R. Zimerman, V. B. Franceschi…·C. E. Thompson

This study analyzes selected mutations in the spike protein of Brazilian SARS-CoV-2 lineages to assess their impact on structural stability and binding affinity to hACE2.

DOI 10.1080/07391102.2022.2076154

humanwhole-genome sequencing

𝕏 PostBluesky

Evolutionary BiologybioRxivJan 27, 2021

E484K as an innovative phylogenetic event for viral evolution: Genomic analysis of the E484K spike mutation in SARS-CoV-2 lineages from Brazil

P. A. G. Ferrareze, V. B. Franceschi, A. d. M. Mayer…·C. E. Thompson

The paper analyzes the genomic spread and evolutionary dynamics of the E484K mutation in SARS-CoV-2 lineages from Brazil, identifying its association with adaptive selection and lineage distribution.

DOI 10.1016/j.meegid.2021.104941

viruswhole-genome sequencing

𝕏 PostBluesky

MicrobiologybioRxivSep 1, 2020

Application of an optimized annotation pipeline to the Cryptococcus deuterogattii genome reveals dynamic primary metabolic gene clusters and genomic impact of RNAi loss

P. A. G. Ferrareze, C. Maufrais, R. Silva Aroujo Streit…·G. Janbon

The paper optimizes an annotation pipeline for Cryptococcus deuterogattii using RNA-seq data, revealing dynamic transcriptome features and genomic changes linked to RNAi loss.

DOI 10.1093/g3journal/jkaa070

fungi (other)bulk RNA-seq

𝕏 PostBluesky