Pierre Barbera
Pierre Barbera
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Cited by
Cited by
EPA-ng: massively parallel evolutionary placement of genetic sequences
P Barbera, AM Kozlov, L Czech, B Morel, D Darriba, T Flouri, ...
Systematic biology 68 (2), 365-369, 2019
Petabase-scale sequence alignment catalyses viral discovery
RC Edgar, B Taylor, V Lin, T Altman, P Barbera, D Meleshko, D Lohr, ...
Nature 602 (7895), 142-147, 2022
Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data
L Czech, P Barbera, A Stamatakis
Bioinformatics 36 (10), 3263-3265, 2020
Phylogenetic analysis of SARS-CoV-2 data is difficult
B Morel, P Barbera, L Czech, B Bettisworth, L Hübner, S Lutteropp, ...
Molecular biology and evolution 38 (5), 1777-1791, 2021
Long‐read metabarcoding of the eukaryotic rDNA operon to phylogenetically and taxonomically resolve environmental diversity
M Jamy, R Foster, P Barbera, L Czech, A Kozlov, A Stamatakis, ...
Molecular Ecology Resources 20 (2), 429-443, 2020
Methods for automatic reference trees and multilevel phylogenetic placement
L Czech, P Barbera, A Stamatakis
Bioinformatics 35 (7), 1151-1158, 2019
Retrofitting smartphones to be used as particulate matter dosimeters
M Budde, P Barbera, R El Masri, T Riedel, M Beigl
Proceedings of the 2013 International Symposium on Wearable Computers, 139-140, 2013
Metagenomic analysis using phylogenetic placement—a review of the first decade
L Czech, A Stamatakis, M Dunthorn, P Barbera
Frontiers in Bioinformatics 2, 871393, 2022
SCRAPP: A tool to assess the diversity of microbial samples from phylogenetic placements
P Barbera, L Czech, S Lutteropp, A Stamatakis
Molecular ecology resources 21 (1), 340-349, 2021
High-Performance approaches for Phylogenetic Placement, and its application to species and diversity quantification
P Barbera
Efficient Memory Management in Likelihood-based Phylogenetic Placement
P Barbera, A Stamatakis
IEEE International Parallel and Distributed Processing Symposium Workshops …, 2021
Two Independent and Highly Efficient Open Source TKF91 Implementations
N Baudis, P Barbera, S Graf, S Lutteropp, D Opitz, T Flouri, A Stamatakis
bioRxiv, 033191, 2015
Scalable Computational Molecular Evolution Software & Data Analyses
A Stamatakis, A Kozlov, P Barbera
High Performance Computing, 231, 0
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